Software Engineer - AI Solutions in London

About Flow EngineeringFlow Engineering is at the forefront of innovation, providing an AI-native requirements platform tailored for forward-thinking engineering organizations. Our mission is to empower hardware teams to seamlessly collaborate with AI agents, optimizing the design, validation, and evolution of intricate systems with unmatched efficiency and precision.Role OverviewWe are on the lookout for talented Software Engineers to engineer AI-driven features that enhance the way teams create, review, and oversee requirements. You will be instrumental in developing workflows for agentic systems and domain engineers, placing AI at the core of systems reasoning.This position merges the realms of AI, product management, and full-stack engineering, allowing you to transform concepts from initial prototypes into robust, observable features deployed in production.Your ResponsibilitiesDesign and implement AI-enhanced features, including assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions tailored for systems and domain engineers.Develop agentic workflows that enable systems and domain engineers to explore designs, simulate alterations, and validate requirements effectively.Evaluate and integrate advanced language models and related tools, focusing on reliability, latency, cost-effectiveness, and debuggability in live environments.Build and maintain essential infrastructure, including data pipelines, evaluation frameworks, and observability measures with appropriate safety protocols.Engage across the technology stack, from backend APIs to user interface integrations, ensuring the delivery of comprehensive AI solutions rather than isolated model endpoints.Collaborate with product teams and clients to pinpoint high-impact workflows, conduct experiments, and iterate swiftly based on user feedback.Your ProfileMinimum 3 years of experience in software development, with a strong focus on designing, testing, and operating scalable services within cloud environments.Hands-on experience with leading language model providers and technologies (e.g., OpenAI, Anthropic, Hugging Face, vector databases, retrieval-augmented generation patterns).Familiarity with prompt engineering, retrieval-augmented systems, evaluation techniques, and safety/guardrail methods.Proficient in evaluating trade-offs among various models, architectures, and deployment strategies, making informed decisions.Thrives in a dynamic, ownership-driven environment where experimentation and rapid iteration are commonplace.

At Coram AI, we are revolutionizing video security in today's digital landscape. Our innovative cloud-native platform leverages cutting-edge computer vision and artificial intelligence to empower businesses with enhanced safety, informed decision-making, and rapid response capabilities. Experience real-time alerts, effortless clip sharing, and comprehensive visibility across multiple sites.Joining our dynamic, agile team means embracing clarity, excellence, and impactful contributions. Every team member has a voice, delivers significant work, and plays a vital role in shaping how AI can foster a safer and more interconnected world.In this role, you will be part of a pioneering team responsible for managing a sophisticated infrastructure that transcends conventional cloud setups. Beyond our robust AWS and Kubernetes configurations, we also oversee a vast array of IoT devices. We are in search of a skilled engineer who will play a crucial role in developing and maintaining our edge and cloud stack that supports our IoT product offerings, focusing on both infrastructure and the bespoke software we utilize.You will tackle intriguing challenges at the confluence of user experience, machine learning, and infrastructure, while committing to excellence, continuous learning, and delivering exceptional products in a fast-paced startup environment.

About UsAt Tracer, we are pioneering the development of autonomous AI agents designed specifically for production data pipelines. As an early-stage, venture-backed startup, we are supported by seasoned professionals and investors who foresee AI's transformative impact on enterprise software over the coming decade. Our tight-knit team is comprised of senior experts who are keenly focused on execution and innovation. About the RoleWe are seeking a Lead AI Software Engineer to join our London team, responsible for creating and managing the core systems that convert production alerts into actionable root cause analyses (RCAs) and corrective suggestions. While the agent handles the heavy lifting, you will ensure that human oversight remains integral to production decisions.In this role, you will serve as the primary technical authority for our systems, collaborating closely with the founders and engaging in hands-on development. You’ll Love Our Tech StackPython + LangGraph (for multi-agentic alert investigation)Rust (to ensure speed and correctness)ClickHouse (to manage high-volume events and investigation histories)AWS + Terraform (for self-building infrastructure)Next.js + TypeScript (for dynamic front-end experiences) What You’ll DoIn this pivotal role, you will oversee the systems that transform alerts into thorough investigations and RCAs. Your responsibilities will include:Designing and building the core alert, investigation, and RCA pipeline using PythonCrafting and implementing essential systems, such as:Alert ingestion and normalizationContext enrichment and correlationProblem framing outputsHypothesis orchestration engineInvestigation execution runtimeInvestigation artifacts and reportingLeading crucial architectural decisions to ensure the system is observable, auditable, and reliable from day oneCollaborating with founders to effectively deploy a select few high-value alert types before gradually expanding our capabilitiesDeveloping customer-ready integrations throughout the pipeline

About Indicium AI Indicium AI is a premier global consultancy specializing in AI solutions for the world's leading enterprises. With a proven track record across various sectors including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing, we provide unmatched clarity, speed, and capability in delivering AI at scale. Our team of over 600 AI experts supports more than 50 enterprise clients from 5 global locations, collaborating with top-tier partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft to achieve impactful business outcomes. Overview We are looking for a talented AI Engineer to join our team, responsible for designing, building, and deploying robust production-grade AI systems that leverage large language models. This unique position merges software engineering with AI implementation, focusing on developing scalable, reliable applications instead of model training or research. As part of your role, you will utilize cutting-edge LLM technologies to create sophisticated AI systems capable of solving complex real-world challenges through multi-agent orchestration, intelligent tool integration, and efficient production workflows. Your expertise will be pivotal in crafting the orchestration layer that ensures these systems are production-ready, effectively managing failure modes, optimizing agent collaboration, and providing consistent, reliable outputs at scale. You'll blend strong software engineering fundamentals with comprehensive knowledge of LLM capabilities, limitations, and best practices for building trustworthy non-deterministic systems. Responsibilities Design and implement production AI systems that incorporate LLMs, RAG pipelines, vector databases, and agentic frameworks. Develop evaluation frameworks to assess and monitor system performance, accuracy, and reliability. Create and maintain production-grade AI applications featuring clean code, robust error handling, APIs, and data pipelines. Implement, maintain, and evaluate retrieval systems, including vector/graph databases and ingestion pipelines. Establish feedback loops and observability processes to enhance system performance continuously. Craft effective prompts and optimize for latency, cost, and quality across various model providers and configurations. Required Skills and Experience Hands-on experience building applications with LLM APIs and a deep understanding of their functionalities. Proficiency in software engineering principles and practices. Experience with production-grade system design, implementation, and optimization. Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment. Familiarity with AI best practices and methodologies.

About LendableLendable is dedicated to creating cutting-edge technology that empowers individuals to secure credit and save money effectively. As one of the UK’s newest unicorns, our dynamic team of over 700 is driving growth in the fintech sector:Recognized as one of the fastest-growing tech companies in the UK.Achieved profitability since 2017.Supported by prominent investors, including Balderton Capital and Goldman Sachs.Highly rated by customers, boasting an impressive 4.9 rating across thousands of reviews on Trustpilot.To date, we have reimagined three major consumer finance products: loans, credit cards, and car finance. Our commitment is to deliver funds to our customers within minutes, rather than days.As we expand, we are targeting the two largest Western markets (the UK and US), where vast amounts of financial products are still managed by traditional banks with outdated systems and cumbersome processes.Join Us If You Want ToTake ownership of a broad scope of responsibilities, making impactful decisions that shape the future of Lendable from day one.Collaborate with a small team of exceptional individuals who are resourceful and innovative in solving problems and challenging the status quo.Develop top-tier technology in-house, utilizing new data sources, machine learning, and AI to automate and optimize processes.About the RoleWe are seeking a proactive AI Engineer to join our Internal Automation team at Lendable, aimed at enhancing operational efficiency across the organization.Your mission will be to empower internal teams—from Finance and Compliance to Product and QA—by creating AI-driven tools, integrations, and automated workflows. You will work closely with a compact team (4 engineers, 1 PM) focused on reducing friction, automating monotonous tasks, and allowing colleagues to dedicate more time to high-value activities.

Join the Heidi Health TeamAt Heidi, we are on a mission to revolutionize healthcare with our innovative AI Care Partner, designed to assist clinicians throughout the entire care process—from documentation to effective delivery.Our goal is to double healthcare’s capacity while ensuring that care remains profoundly human. In just 18 months, Heidi has successfully reclaimed over 18 million hours for clinicians and facilitated more than 73 million patient visits. Currently, our platform supports over two million patient visits weekly across 116 countries and in more than 110 languages.Founded by healthcare professionals, Heidi unites a diverse team of clinicians, engineers, designers, and scientists, all driven by a common objective: to enhance the human connection pivotal to healthcare.With nearly $100 million in funding, we are rapidly expanding our presence in the USA, UK, Canada, and Europe, collaborating with leading healthcare systems such as the NHS, Beth Israel Lahey Health, and Monash Health.If you are ready to take on this exciting challenge, we invite you to apply!

Our MissionAt Omnea, we are transforming the way enterprise businesses function, beginning with one of their most challenging areas: procurement. A single purchase can often take months, generating over 50 emails and involving Finance, Legal, Security, and IT departments just to gain approval.We have successfully raised $75M from esteemed investors like Khosla Ventures, Insight Partners, and Accel to address these challenges. Our innovative AI-driven platform connects every stakeholder, step, and system to ensure that the purchasing process is swift, secure, and streamlined—offering a unified platform for requests, automated approvals and renewals, real-time supplier risk assessment, and comprehensive spend visibility.With a market potential exceeding $7B, our growth trajectory demonstrates the vast opportunity at hand: we have achieved a tenfold increase in ARR, reaching double-digit millions in just 18 months, and are trusted by leading global enterprises such as Spotify, MongoDB, Monzo, and Albertsons. We are proud to be recognized as the 4th fastest-growing startup in Europe.Our team has a proven track record scaling Tessian, a cybersecurity tech company backed by Sequoia, Balderton, and Accel, which was acquired post-Series C. Our diverse team consists of former founders and operators who have successfully grown unicorns, launched top-tier products, and executed at the highest levels. You'll collaborate with industry leaders such as Ben, Abs, Sabrina, and Rebe.What We're Looking ForWe are on the lookout for a technically proficient and client-focused Solutions Engineer to join our dynamic team. This position is ideal for an individual who is motivated to take ownership within a pre-sales role, acting as the primary technical consultant to potential clients.In this pivotal role, you will be instrumental in tailoring customer solutions, aligning our platform to address unique requirements, and ensuring a seamless transition to our Customer Success team. Your contributions will significantly influence the success of deals, encompassing activities such as conducting technical discovery sessions, creating custom demos/Proofs of Concept (PoCs), troubleshooting, and responding to technical inquiries. This collaborative position requires a blend of technical knowledge and finance/procurement insight, complemented by a customer-centric approach.

Join hyperexponential as a Lead Software EngineerAt hyperexponential, we are at the forefront of innovation, creating a groundbreaking AI-powered platform that transforms decision-making in the $7 trillion insurance industry. Our technology influences vital outcomes, from the successful launch of rockets into space to the efficient deployment of autonomous vehicles and the swift recovery of communities after disasters.For too long, insurers have relied on outdated tools to make multi-billion dollar decisions. We are revolutionizing this landscape. Our platform seamlessly integrates data, AI, and expertise, providing insurers with a rapid pathway from submission to decision, empowering them to act with agility, intelligence, and confidence.With backing from esteemed investors like a16z, Highland Europe, and Battery Ventures, we are expanding our global footprint and have earned the trust of nearly 50 of the world’s largest insurers, boasting zero churn and billions in premiums flowing through our platform.What began as a singular product in one market has swiftly evolved into a comprehensive, multi-product platform that supports every aspect of pricing and underwriting. AI is embedded in our core operations, from developing the world’s first domain-specific AI peer programmer for insurance to innovating workflows that redefine industry standards.At hyperexponential, our strength lies in our people. Here, your impact is not determined by your title or tenure, but by the challenges you embrace and the discipline you exemplify. Surrounded by a team that pushes boundaries, you will engage in the most meaningful work of your career in an environment built to thrive.If this resonates with you, we invite you to join us in shaping the future.About the hxAI TeamAt hx, AI is not an accessory; it is integral to our mission. We are transforming the insurance software landscape through generative AI. Our team merges advanced LLM technology with deep industry knowledge to tackle challenges that others overlook.Currently, we are focused on two flagship products: a powerful ingestion engine that converts unstructured insurance documents into actionable insights, and our flagship offering, an AI peer-programmer embedded in a custom IDE, revolutionizing how actuaries and underwriters model risk and make critical financial decisions.This is applied AI that delivers tangible results. As a Lead Software Engineer, you will be part of an agile, high-ownership team that drives innovation and directly influences how AI reshapes the industry.

Join WatershedWatershed is at the forefront of enterprise sustainability solutions, empowering businesses such as Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens to effectively manage climate and ESG data. Our platform generates audit-ready metrics for both voluntary and regulatory reporting, including CSRD, while driving genuine decarbonization efforts. We seek passionate individuals eager to build impactful products, thrive in a mission-driven startup environment, and contribute to shaping the culture of an expanding team.With offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and a remote workforce across the US and Europe, we hope you’ll consider being part of our journey!Your RoleWe are in search of a dedicated software engineer to join our sustainability AI reporting team. As a key member of a cross-functional team, you will develop cutting-edge AI tools that assist businesses in managing and reporting their sustainability progress. Utilize LLMs, embeddings, and other AI technologies to deliver customer-centric features and help establish the technical framework for AI at Watershed.This position is based in our London HQ for 4 days a week.ResponsibilitiesDeploy code to production on day onePrototype, develop, and iterate on new product areas, equipping our customers with powerful AI tools for information extraction and report generationProductionize and launch core technologies that enhance AI capabilities based on extensive operational sustainability dataStay abreast of AI advancements to assess their relevance for WatershedWrite efficient, well-structured, tested, and maintainable code across our technology stackQualificationsYou may be a great fit if you possess:3+ years of software engineering experience, preferably in Node.js web developmentExperience in developing customer-facing products rooted in user needsEnthusiasm for joining a startup and contributing to the evolution of a growing engineering teamStrong full-stack development skills with a solid understanding of modern web technologies

Company OverviewDeductive AI is pioneering the development of the world's first real-time reasoning engine designed to identify and mitigate large-scale software outages. By employing advanced reasoning techniques on distributed systems, code, and statistical anomalies, we analyze vast amounts of telemetry data—including metrics, logs, traces, and events—in real-time. Our accomplished team boasts decades of experience from industry leaders such as Databricks, Facebook, Thoughtspot, Google, Splunk, and Amazon. Backed by top-tier venture capital firms, we are well-positioned for growth and innovation.Internship OverviewWe are looking for innovative interns to join our team and engage with cutting-edge technology. You will tackle fascinating challenges at the intersection of artificial intelligence, code understanding, and data analytics. Your work will involve distributed systems, the development of AI agents, and the fine-tuning and benchmarking of Large Language Models (LLMs).This is a paid, on-site internship based in Camden, London. As a Software Engineer Intern at Deductive AI, you will have the opportunity to contribute to the next generation of foundational code and data processing systems that can reason over extensive datasets, both structured and unstructured. We are committed to aligning projects with your skillset and preferences.

Faculty AI develops artificial intelligence solutions for organizations across government, finance, retail, energy, life sciences, and defense. Since 2014, the team has partnered with over 350 clients worldwide, focusing on responsible AI that delivers measurable results. Learn more about Faculty's impact here. Innovation and practical application guide the work at Faculty. Engineers and scientists are encouraged to challenge assumptions and advance AI technology, building products that make a real difference. Role overview Faculty is seeking Software Engineers in London to help develop Frontier, the company’s main Decision Intelligence AI platform. This position focuses on backend development and cloud infrastructure, supporting the platform’s growth and reliability. Engineers in this role help shape a product designed to bring AI-driven insights to real-world decision-making. What you will do Develop and maintain backend services for the Frontier platform Work on cloud infrastructure to enable scalable AI solutions Apply technical best practices throughout the software development lifecycle Tackle complex, real-world challenges using advanced technology Collaborate with colleagues to deliver AI products that have an impact in sectors like healthcare, logistics, and sustainability Impact areas Optimize hospital bed management with AI-driven tools Streamline logistics for military and public sector organizations Support sustainability projects using data-driven insights This role offers the opportunity to influence how organizations make decisions with AI and machine learning. Faculty values engineers who want to build technology that drives positive change.

Join StackOne:At StackOne, we are pioneering the future of SaaS and AI integrations. Supported by GV and Workday Ventures with $24M in funding, we empower developers of SaaS platforms and AI Agents to seamlessly integrate with a multitude of tools, enhancing functionality with scalable and precise solutions. Our platform boasts 25,000 pre-mapped actions across 200 connectors, alongside an AI-driven integration development toolkit that emphasizes security: featuring real-time architecture, managed authentication, and comprehensive observability.Join us on our ambitious journey towards revolutionizing agentic integrations.With an AI-native integration toolkit that ensures real-time execution and robust security measures, we are heavily investing in AI R&D. Our new lab focuses on developing specialized LLMs that excel in precision, reliability, and safety - crucial components for effective agentic execution.Your Role:As an AI Engineer, you will play a pivotal role in enabling users to integrate their preferred tools effortlessly with just one click, thanks to StackOne's innovative solutions.We seek a skilled Software Engineer with a solid foundation in AI production-grade applications, particularly with experience in working with LLMs (e.g., GPT, Anthropic, etc.).In this position, you will be responsible for delivering AI features and products throughout their lifecycle, collaborating closely with our dedicated AI team, which includes both AI researchers and engineers. You will report directly to the CTO.

Our MissionAt Omnea, we are transforming the operational landscape for enterprise businesses, particularly addressing the complexities of procurement. This often cumbersome process can involve months of delays and a multitude of emails, drawing in departments such as Finance, Legal, Security, and IT for purchase approvals.With the backing of $75M from Khosla Ventures, Insight Partners, and Accel, we are committed to revolutionizing this space. Our AI-driven platform seamlessly integrates all stakeholders, ensuring that the purchasing process is swift, secure, and efficient. We provide a centralized system for requests, automated approvals, real-time supplier risk assessments, and comprehensive spend visibility.The market potential is significant, with over $7B available. Our growth trajectory demonstrates the scale of this opportunity, having increased our Annual Recurring Revenue (ARR) tenfold within 18 months, earning the trust of renowned global enterprises like Spotify, MongoDB, Monzo, and Albertsons. As of now, we proudly hold the title of the 4th fastest growing startup in Europe.Our team previously scaled Tessian (cybersecurity technology, backed by Sequoia, Balderton, Accel, and acquired post-Series C). Our members include former founders and operators who have successfully built unicorns, delivered exceptional products, and achieved high-level execution. You will collaborate with leaders such as Ben, Abs, Sabrina, and Rebe.What We're Looking ForWe are seeking a highly skilled and product-focused Senior Software Engineer to join our expanding engineering team and support Omnea in its next growth phase. In the upcoming year, we plan to double our team size, grow our enterprise client base from approximately 100 to over 200, and triple our revenue. In this position, you will be responsible for developing high-quality product features and systems, managing complex problem domains comprehensively, and making a direct impact on customer experiences as we transition from a startup to a scale-up.This is an exciting time to join us as we have recently secured $50M in Series B funding from Khosla Ventures...

Join Edra: Pioneering Solutions in Enterprise AIAt Edra, we're tackling one of the most challenging issues in enterprise AI: while AI models are inherently generic, company processes are uniquely specific. Our mission is to develop AI agents that comprehend how these processes operate and effectively manage their tasks.As a Series A startup, we are proudly supported by Sequoia and other prestigious venture capital firms. With our teams expanding in New York and London, we are a highly technical group comprising engineers, AI researchers, and strategists who all uphold a rigorous standard for talent. We believe that exceptional individuals are the cornerstone of our future success.Your RoleWe seek dedicated Backend Engineers who are passionate about the art of software development. Your focus will be on implementing strong typing, thoughtful API design, and robust data modeling. You will not be developing AI models; instead, you will construct the surrounding ecosystem: the platform, workflows, interfaces, integrations, and observability that render our AI applicable in real-world scenarios. As one of the early engineers at Edra, you will have the opportunity to influence not only the product but also the engineering culture, tooling decisions, and technical frameworks upon which our company is built.Our approach is intentional and thorough. There is no distinction between 'building it' and 'shipping it'—you will oversee the journey from conceptualization to deployment, taking full ownership of your outcomes. We prioritize thoughtful development over speed, striving for a balance between velocity and quality.Key ResponsibilitiesDesign and implement platform systems utilizing Python (FastAPI), including API contracts, database schemas, and infrastructureDevelop and sustain connectors, integrations, and data pipelines that link our platform to external systemsCreate internal libraries, tools, and interfaces that enhance the productivity of the engineering teamTake full ownership of your work by gathering context, managing dependencies, and driving tasks to completion independentlyEngage in multiple roles across the stack—design a schema in the morning, develop the API layer in the afternoon, and troubleshoot a deployment issue by day’s endParticipate in weekly product meetings, understand user interactions with your creations, and help shape future developmentsCollaborate daily with a small, elite team of engineers and AI specialistsHave a direct impact on the technical direction: select tools, establish patterns, and define conventions for the team

POS-22139This position offers flexible work options: Office, Hybrid, or Remote within the UKAt HubSpot, we are dedicated to equipping businesses with state-of-the-art AI technologies, and our AI Infrastructure group plays a pivotal role in this mission. We are looking for a Staff Software Engineer who is passionate about infrastructure and improving the developer experience to join our dynamic AI Serving team. This team is responsible for managing HubSpot's end-to-end model inference and serving infrastructure, ensuring that AI models are deployed reliably, scaled appropriately, and remain cost-effective across various environments, while also serving as the cornerstone for modern Python development at HubSpot.The AI Serving team is in charge of the frameworks and libraries that facilitate synchronous, asynchronous, and offline inference, including model deployment pipelines, autoscaling, and resource management for both GPU and CPU. Our roadmap is focused on enhancing batch inference reliability and efficiency, advancing model observability, and optimizing AI infrastructure costs. Additionally, we are the custodians of essential Python libraries and tools within HubSpot.As a Staff Software Engineer on the AI Serving team, your responsibilities will include:Developing and deploying production-level code that directly enhances AI capabilities across HubSpot, serving as a crucial component for user and business impact at scale.Driving the advancement of our model serving and inference infrastructure, with an emphasis on reliability, scalability, and cost efficiency.Setting the technical direction for deploying and operating ML models at scale, influencing decisions on architecture, cost management, and developer experience.Collaborating closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving processes.Gaining in-depth exposure to a variety of HubSpot infrastructure systems by building and maintaining core Python libraries, providing an excellent opportunity to understand HubSpot's operations in detail.Engaging with HubSpotters across the organization—from engineering and product to design, research, marketing, and sales—to gain insights into how HubSpot functions as a business.Being encouraged to bring your authentic self to work and to choose a work style and location that enables you to perform at your best, whether that be from home, in an office, or a combination of both.We are not solely seeking engineers with extensive experience; we are looking for individuals who have demonstrated unique excellence, leadership qualities, and the ability to uplift those around them.

The RoleAs a Solutions Engineer, you will serve as a pivotal link between customer requirements and technical implementation in enterprise agreements. Your role involves translating intricate demands into practical, high-impact solutions, ensuring that every proof of concept is not only precise but also scalable and positioned for ultimate success.Collaborating closely with Account Executives, Product, and Engineering teams, you will tackle technical inquiries, resolve complex challenges, and design solutions that deliver significant value to our clients. With constant feature releases at Kernel, you will remain at the forefront of client needs and the latest market innovations.What You’ll Be Doing:Collaborating with Account Executives in late-stage sales cycles as the technical authority.Executing and delivering high-quality proofs of concept within established timelines.Leading and overseeing the complete implementation cycle from initiation to go-live.Designing, building, and deploying tailored AI agents using Kernel’s tools.Acting as a trusted advisor for a diverse client portfolio.Providing constructive feedback to the Product team to foster continuous improvement and iteration.What You Bring:3–5 years of experience in a client-facing analytical or technical role, such as Solutions Engineering, Technical Account Management, or Consulting.Strong technical proficiency (APIs, JavaScript, etc.) and a solid understanding of data systems.Exceptional analytical and problem-solving skills, with meticulous attention to detail.Adept at navigating ambiguous situations and creatively addressing technical challenges.Experience in fast-paced, startup environments.Ability to manage multiple client engagements and projects simultaneously.Excellent communication skills and the ability to cultivate trusted relationships with customers.Willingness to occasionally work extended hours to support US-based clients.Nice to have, but not required:Experience with AI products or relevant use cases.Familiarity with RevOps workflows and systems, including CRMs and associated tools.

About AntithesisAt Antithesis, we are transforming the landscape of modern distributed systems testing and deployment. Our innovative platform is trusted by engineering teams that prioritize unwavering reliability, scalable performance, and intricate technical insights. We don’t just ensure system correctness and reliability; we exist because developers need a superior solution. If you’ve faced the frustration of production outages, endured challenging on-call weeks, or experienced release delays due to critical bugs, you’ll resonate with our mission. If you're driven by a passion for developer-centric products, system resilience, and accuracy, we want to hear from you.About the RoleWe seek an innovative thinker who thrives in challenging environments and isn’t afraid to disrupt the norm. As a Solutions Engineer, you will deploy the powerful tools and technologies from the Antithesis platform to identify bugs and challenge our customers’ software. You will effectively communicate and persuade potential customers about the revolutionary approach to software testing and reliability that Antithesis embodies.What You'll DoLead Proof-of-Concept (POC) initiatives to showcase the value of Antithesis products to prospective customers.Engage in onboarding processes for new customers.Provide technical support to the sales team through qualifications and consultations.Facilitate workshops for customers focusing on Property-based Testing (PBT) and other relevant topics.Identify bugs and evaluate open-source software.Establish thought leadership in testing complex systems.Create, maintain, and present product demonstrations.Guide customers and prospects in utilizing the Antithesis platform and its testing methodologies.Who You AreTechnically adept and curious about technology trends.Eager for new challenges and opportunities.Keen to learn and adopt emerging technologies.Resilient under tight deadlines and high-pressure scenarios.Excellent communicator, both in writing and verbally.Collaborative team player, able to work effectively with a small, skilled team.Professional yet adaptable, comfortable in a fast-paced environment.

Join V7 Labs as an AI Solutions Engineer, where you will play a crucial role in harnessing the power of artificial intelligence to develop innovative solutions that drive efficiency and enhance performance across various sectors. This exciting opportunity is perfect for tech-savvy individuals eager to work in a dynamic environment where creativity and technical expertise intersect.

Who We AreLightning AI is the innovative force behind PyTorch Lightning, established in 2019. We provide a comprehensive platform designed to streamline the development, training, and deployment of AI systems, effectively bridging the gap between research and production.Our merger with Voltage Park, a neocloud and AI Factory, empowers us to combine developer-centric software solutions with economical, large-scale computing capabilities. We equip teams with essential tools for experimentation, training, and production inference, ensuring built-in security, observability, and control.We cater to solo researchers, startups, and large enterprises alike, operating globally with offices in cities such as New York City, San Francisco, Seattle, and London. Our efforts are supported by notable investors including Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.What We’re Looking ForWe are seeking a skilled Backend Engineer to develop and enhance the Lightning AI platform across various components, from the frontend and CLI to API, billing, security, and integrations. You will take full ownership of key features, driving development from concept to production while collaborating with a talented team of engineers, product managers, and designers. This role offers the chance to create groundbreaking technology that will revolutionize the machine-learning ecosystem!This hybrid position is based in our London office with a requirement of 2 in-office days per week. The salary range for this role is $120,000 - $250,000.

About UsAt TwelveLabs, we are at the forefront of developing innovative multimodal foundation models that enable video comprehension akin to human understanding. Our transformative models have set new benchmarks in video-language integration, enhancing our ability to intuitively analyze and interact with diverse media formats.With an impressive $107 million in Seed and Series A funding, we are supported by elite venture capital firms including NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, along with influential AI pioneers like Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters are located in San Francisco, complemented by a significant presence in the APAC region through our office in Seoul, which emphasizes our dedication to global innovation.We pride ourselves on being a global company that celebrates the individuality of each team member. The diverse cultural, educational, and life experiences within our workforce empower us to constantly challenge conventional thinking. We seek passionate individuals who resonate with our mission and are eager to make a meaningful impact as we redefine the future of technology in video understanding and multimodal AI.About Our TeamThe Field Engineering team plays a crucial role in ensuring the seamless and effective implementation of TwelveLabs' video understanding APIs for developers and enterprises. We serve as trusted advisors and thought partners to our clients, helping them unlock the full potential of our multimodal foundation models and products.The Solutions team, a vital part of Field Engineering, is dedicated to expediting the sales process for high-potential prospects and clients. Collaborating closely with the Sales team, we communicate technical benefits, design impactful proof-of-concepts, and illustrate how our platform addresses key business challenges.About the RoleWe are looking for a Solutions Engineer who will assist prospects in discovering and validating the transformative capabilities of video AI. As a technical expert throughout the sales cycle, you will collaborate with Account Executives to assess opportunities, define use cases, design and conduct proof-of-concepts, and showcase the business value of our multimodal foundation models.Your role will involve providing technical guidance throughout the sales journey while working in tandem with Sales, Product, Partnerships, and Engineering teams. This position is highly autonomous and requires creativity, thriving in an unstructured, fast-paced environment.This role is remote.