Conversational AI Engineer - System Prompt Specialist

Join our dynamic team at Known as a Conversational AI Engineer specializing in System Prompts. In this role, you will be pivotal in developing innovative AI-driven solutions that enhance user interactions through conversational interfaces. You will work closely with cross-functional teams to design, implement, and optimize conversational AI systems that provide seamless and engaging user experiences.

About UsAt Conversion, we're revolutionizing marketing automation with our AI-native platform designed specifically for modern software companies. The landscape of marketing today is fragmented by outdated tools and disconnected workflows. We're here to change that.Our solution empowers growth teams to seamlessly manage their go-to-market strategies from acquisition to retention, all within a single, fast, and personalized interface powered by AI.With over $28 million raised from leading investors like Abstract Ventures, True Ventures, and HOF Capital, we are rapidly scaling with a current ARR of over $5 million and supporting more than 4,000 customers.Join our dynamic team of high achievers in San Francisco. If you're passionate about crafting innovative, product-led marketing solutions and want to collaborate with world-class teammates, we can't wait to meet you!Over $28M in funding$0 to $6M ARR in less than 12 months, serving over 4,000 customersElite team with backgrounds from Airbnb, Palantir, Pinterest, IMC Trading, Shopify, LinkedIn, Microsoft, and moreAbout the RoleHi! I'm James, co-founder and CTO of Conversion. I want to share what we envision for our ideal candidate to join our engineering team.The challenge we face at Conversion is significant. The absence of new entrants in the marketing automation space for decades speaks to the complexity of building such platforms. Our system must reliably manage gigabytes of data syncs per customer, orchestrate intricate workflows for mission-critical processes, and handle revenue-generating form submissions while delivering high-quality emails to millions of recipients.We're seeking a backend software engineer who is:Product-focused: We value engineers who can take ownership of features, design, and implement them from start to finish. The best product managers often come from engineering backgrounds, as they can effectively assess both the benefits and costs of new features.

Join Entbot, a pioneering company crafting an autonomous operations copilot for enterprise teams. We integrate cutting-edge LLMs with specialized retrieval, evaluation, and analytics pipelines to empower GTM, operations, and support teams in deploying AI workflows securely.Role OverviewEntbot is on the lookout for a Senior Prompt Engineering Engineer who will take charge of the entire lifecycle of intelligent workflow design. This encompasses prompt research, automated evaluation, guardrail instrumentation, tool integration, and production rollout in close collaboration with product and customer teams.Key Responsibilities- Innovate, test, and deploy multi-agent and multi-turn prompt strategies across essential products like ops copilot, auto-reply, research agents, and workflow builder.- Develop automatic evaluation frameworks, red-teaming suites, and telemetry dashboards to assess quality, safety, and latency metrics for each release.- Collaborate with product teams, solutions, and enterprise customers to convert vague requirements into dependable AI functionalities, including tool/knowledge grounding approaches.- Standardize prompt/tooling bundles as reusable components within the internal SDK; document best practices and mentor fellow engineers and designers.- Keep abreast of the latest developments in the LLM/model ecosystem, evaluate new releases, and provide recommendations for adoption that balance capability, cost, and compliance.

Join Our Team as an Executive AssistantAt Conversion, we're on a mission to revolutionize marketing automation for modern software companies. Our AI-native platform streamlines the chaotic world of marketing, ensuring that growth teams can effectively manage their entire go-to-market strategy from a single, efficient interface. With over $28 million in funding and a rapidly growing customer base of more than 4,000 clients, our team in San Francisco is eager to welcome a dynamic Executive Assistant who can thrive in our collaborative and fast-paced environment.As our first Executive Assistant, you will play a pivotal role in shaping our future. You will be responsible for managing the founders' calendars, coordinating meetings, and facilitating communication to maximize productivity. Your contributions will extend to building recruiting pipelines, organizing team events, and scouting locations for our next office space. If you are passionate about helping teams succeed and enjoy tackling diverse challenges, we want to hear from you!

Join Notion Labs Inc. as an AI Conversation Designer to revolutionize customer support interactions. In this role, you will leverage cutting-edge artificial intelligence technologies to craft engaging and effective conversation flows that enhance user experiences. Your work will directly contribute to our mission of creating a seamless and intuitive support system.

Join Saris AI as an AI Systems Engineer, where you will play a pivotal role in designing and implementing innovative solutions that leverage artificial intelligence technologies. You will collaborate closely with cross-functional teams to develop AI systems that enhance our products and services, driving impactful results for our clients.

About the RoleAs a Product Manager on Hinge Health’s Intelligent Care team, you will take charge of the complete member experience with our hybrid care assistant powered by LLM technology. Your mission will be to enhance the accessibility and quality of musculoskeletal (MSK) care for our members, ensuring they receive timely and effective support. You will be responsible for the product strategy, safety, and performance of the conversational interactions, ensuring that the assistant provides clinically sound guidance and escalates to our Care Team when necessary.This role requires collaboration with Engineering, Design, Data Science, Clinical, Legal, Compliance, Applied Science, and fellow Product Managers. We also provide complimentary breakfast and lunch for onsite team members. Your contributions will directly influence member satisfaction, enhance engagement and retention, reduce the workload on our care team, and support our overarching strategy for intelligent and scalable care delivery.What You’ll AccomplishEstablish clear benchmarks and evaluation frameworks for engagement, conversational success rates, and workload reduction for the care team.Implement significant improvements to the care assistant that positively impact key performance indicators (KPIs), including new use cases and enhanced conversation flows.Increase member engagement through the personalized delivery of timely, high-quality guidance.Reduce the workload on the Care Team by increasing the proportion of member needs met effectively through hybrid automation.Enhance conversational performance through ongoing iteration on prompts, workflows, escalation logic, and quality metrics.Collaborate with PMs and cross-functional teams to extend the assistant's capabilities into additional product areas, broadening our impact on member needs.Hinge Health Hybrid ModelWe value the benefits of both remote and in-person work, and aim to leverage the strengths of each. Employees in hybrid roles are expected to be in the office three days a week for a full eight-hour business day. Our San Francisco office features a dog-friendly workplace policy.

Join Our Team at ConversionAt Conversion, we are pioneering the future of marketing automation through our AI-driven platform, designed specifically for modern software companies. Traditional marketing tools are often outdated and fragmented, leading to ineffective strategies. Our mission is to repair these broken funnels and misaligned messaging.With Conversion, growth teams can manage their entire go-to-market strategy seamlessly within a single interface. From customer acquisition to activation and retention, everything is streamlined, personalized, and enhanced by AI technology.Having secured over $28 million in funding from notable investors like Abstract Ventures, True Ventures, and HOF Capital, we are experiencing rapid growth with over $5 million in ARR and more than 4000 satisfied customers.Our compact yet high-performing team based in San Francisco is looking for passionate individuals who thrive in a creative, product-led marketing environment. If you're eager to collaborate with top-tier talent and contribute to innovative solutions, we want to connect with you!Over $28M raised in funding$0 to $6M ARR achieved in under a year, serving 4000+ customersJoin an elite team with backgrounds from Airbnb, Palantir, Pinterest, IMC Trading, Shopify, LinkedIn, Microsoft, and more

Join Cloudflare as a Senior Systems Engineer specializing in Workers AI, where you will play a pivotal role in shaping the future of serverless computing. You will collaborate with cross-functional teams to design, implement, and optimize systems that empower developers worldwide.In this dynamic position, your expertise will be critical in enhancing the performance and reliability of our services. We are looking for an innovative thinker with a passion for technology and a strong background in systems engineering.

About Sage CareSage Care is an innovative healthcare startup that is rapidly gaining traction, founded by industry leaders from Apple, Uber, and Carbon Health, and supported by esteemed venture capital firms including General Catalyst and Chelsea Clinton. Our mission is to revolutionize healthcare by streamlining care navigation and ensuring that patients have swift access to the right medical professionals.Our cutting-edge platform not only enables patients to easily connect with the appropriate doctors but also allows providers to focus on patients who require their services the most. By leveraging the latest advancements in AI, we are committed to delivering exceptional care and enhancing economic outcomes on a large scale.Following successful partnerships with health systems across the United States, we are excited to announce our expansion into the MENA region, where we are collaborating with local health systems to deploy our AI-driven care navigation solutions.About the RoleWe are seeking a talented and product-oriented AI Engineer to join our team and enhance Sage Care’s AI Voice platform. In this hands-on role, you will engage with real customer-facing systems, contributing to the development of features, troubleshooting issues from live interactions, and optimizing the performance of our voice agents in a practical setting.Your collaboration with seasoned engineers and product teams will be crucial in delivering high-quality voice experiences that benefit both patients and healthcare providers.Key ResponsibilitiesDevelop and implement features for AI-driven voice interactionsTroubleshoot and resolve issues arising from actual calls to enhance system functionalityWork with technologies including transcription, LLMs, and APIsImprove latency, reliability, and overall conversation qualityContribute to the testing, monitoring, and observability processesCollaborate closely with product teams to refine user experienceQualificationsRequired2–3 years of experience in software engineeringProficiency in programming languages, with a preference for PythonExperience in building backend systems or APIsA product-focused mindset that prioritizes user experience and outcomesA willingness to learn and thrive in a dynamic environmentA comfort with ambiguity and strong problem-solving skillsPreferredFamiliarity with AI technologies and voice systems

About UsAt Conversion, we are revolutionizing the marketing landscape by creating an AI-driven marketing automation platform tailored for contemporary software companies. In a world where marketing often relies on outdated tools and fragmented workflows, we are committed to providing a cohesive solution that enhances the entire go-to-market process.Our platform empowers growth teams to efficiently manage their operations—from acquisition and activation to retention—within a unified interface, delivering swift, personalized experiences powered by advanced AI technology.Backed by over $28 million in funding from esteemed investors like Abstract Ventures, True Ventures, and HOF Capital, we are experiencing rapid growth, currently boasting over $6 million in annual recurring revenue (ARR) and serving more than 4,000 customers.Located in San Francisco, we pride ourselves on having a lean, high-performing team. If you are passionate about marketing innovative products with a clear return on investment and eager to collaborate with top-tier professionals, we would love to hear from you.Over $28M in funding received$0 to $6M ARR achieved in less than a year, with 4,000+ customersElite team comprising talent from renowned companies like Airbnb, Palantir, Pinterest, and moreAbout the RoleHello! I'm Ishaan, leading the Go-To-Market Engineering at Conversion. Unlike traditional setups where GTM functions are isolated, our approach integrates various aspects of GTM, allowing for a dynamic and diverse workday. You will enjoy complete autonomy while building the infrastructure necessary for our next growth phase.This role demands a unique blend of GTM expertise, data proficiency, and creative problem-solving skills. One day, you might be developing large-scale data pipelines, and the next, brainstorming innovative strategies to drive top-of-funnel leads. Given our enterprise-centric approach, data and personalization are pivotal to our GTM strategy. We seek a versatile expert who enjoys exploring new technologies, refining outbound communications, and constructing sophisticated internal data systems.

Accordion is hiring an AI Security Specialist to help protect advanced AI systems across multiple office locations, including Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, and San Francisco. Role overview This position centers on developing, implementing, and monitoring security measures for AI infrastructure. The AI Security Specialist works to identify and address threats, ensuring that AI applications remain secure and reliable. What you will do Design and apply security protocols tailored to AI systems Monitor AI infrastructure for vulnerabilities and respond to incidents Collaborate with teams to maintain the integrity of AI applications Requirements Experience or strong interest in both AI and cybersecurity Ability to develop and implement security strategies Innovative approach to problem solving in a technology-driven environment

Join our dynamic team at Cloudflare as a Senior/Principal Systems Engineer specializing in Workers AI (AI/ML). In this pivotal role, you will leverage your expertise in artificial intelligence and machine learning to develop cutting-edge solutions that enhance our platform's capabilities. You will collaborate with cross-functional teams to drive innovation and improve our systems, ensuring we remain at the forefront of technology.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable and steerable representations of enterprise data.We build trust through our product Crunch, a policy-driven health layer that ensures large tabular datasets remain efficient, reliable, and reversible. On this solid foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures in order to provide trustworthy answers and automation with inherent provenance and governance.Our MissionAI is currently hampered not only by the design of models but also by the inefficiencies of the data that supports them. Every redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste as we scale.Granica aims to eliminate these inefficiencies. We merge cutting-edge research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructures: systems that consistently enhance the representation and utilization of information by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari of Stanford University, bridging advancements in information theory and learning efficiency with large-scale distributed systems. Together, we firmly believe that the next major advancement in AI will stem from breakthroughs in efficient systems rather than merely larger models.Your ContributionsGlobal Metadata Substrate: Design a transactional and metadata substrate that facilitates time-travel, schema evolution, and atomic consistency across massive petabyte-scale tabular datasets.Adaptive Engines: Develop systems that autonomously reorganize data, learning from access patterns and workloads to maintain peak efficiency without the need for manual tuning.Intelligent Data Layouts: Optimize bit-level organization (including encoding, compression, and layout) to maximize signal extraction per byte read.Autonomous Compute Pipelines: Create distributed compute systems that scale predictably, adapt to dynamic loads, and ensure reliability under failure conditions.Research to Production: Apply new algorithms in compression, representation, and optimization that emerge from ongoing research. We encourage opportunities to publish and open-source your work.Latency as Intelligence: Design systems that inherently minimize latency as a measure of intelligence.

The Role As a new graduate Software Engineer focusing on Agentic AI Systems, are you ready to apply your skills at the forefront of AI agents? This position could be the perfect fit for you. Join our dynamic team within the "agent lab" for Natural Language Understanding, where you will significantly contribute to our mission: enhancing the scope of work that can be reliably executed by AI agents at scale. You'll have the chance to shape the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory management, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools including state-of-the-art LLMs from providers like OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling challenging product and engineering issues, and maximizing value for our clients. If you're eager to make a meaningful impact alongside a talented, dedicated, and mission-driven team, we invite you to connect with us.

About UsAt Conversion, we're revolutionizing marketing automation with our AI-driven platform tailored for modern software companies. Traditional marketing methods are outdated, resulting in fragmented workflows and misaligned messaging. We’re here to change that.Our solution empowers growth teams to seamlessly manage their entire go-to-market strategy—from acquisition to activation and retention—within a unified interface that is swift, personalized, and AI-enhanced.Having secured over $28 million in funding from leading investors like Abstract Ventures, True Ventures, and HOF Capital, we are rapidly scaling with over $5M in ARR and serving more than 4000 clients.Based in San Francisco, we are a dynamic and high-performing team. If you are passionate about crafting innovative, product-led marketing strategies and collaborating with top-tier colleagues, we would love to connect with you.Funding: Over $28MGrowth: $0 to $6M ARR in under 12 months, 4000+ customersTeam: An elite team from companies like Airbnb, Palantir, Pinterest, IMC Trading, Shopify, LinkedIn, and MicrosoftAbout the RoleWe are looking for talented individuals to join our early growth and creative content team to help define Conversion’s market presence.In this role, you will spearhead our content and storytelling initiatives across various platforms including web, video, product updates, and outbound communications. Collaborating closely with product, design, and growth teams, you will bring new features to life, transform user stories into impactful campaigns, and showcase how Conversion functions. You will use the product daily, being the first to create, write about, and promote its capabilities.This position requires in-person attendance five days a week in San Francisco.ResponsibilitiesAct as the voice of Conversion through product launches, email updates, and social media channelsCreate landing pages, product updates, how-to guides, campaign briefs, and social media contentBuild in public: share product workflows, post demonstrations, and develop use cases utilizing our platformCollaborate with founders, product, and growth teams to define launch narratives and go-to-market strategiesYou Might Be a Good Fit If YouPossess 2+ years of experience in product marketing, content creation, or a related field

About Liquid AIFounded as a spin-off from MIT CSAIL, Liquid AI specializes in creating versatile AI systems designed for optimal performance across various deployment platforms, including data center accelerators and on-device hardware. Our technology emphasizes low latency, minimal memory consumption, privacy, and dependability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are on the lookout for exceptional talent to join our team.The OpportunityThe Data team at Liquid AI drives the development of our Liquid Foundation Models, focusing on pre-training, vision, audio, and emerging modalities. With the stagnation of public data sources, the effectiveness of our models increasingly relies on specially curated datasets. We are seeking engineers with a machine learning mindset who can efficiently gather, filter, and synthesize high-quality data at scale.At Liquid AI, we regard data as a research challenge rather than an infrastructural issue. Our engineers conduct experiments, design ablations, and assess how data-related decisions impact model quality. We will align you with a team where you can experience rapid growth and make a significant impact, be it in pre-training, post-training reinforcement learning, vision-language, audio, or multimodal applications.While we prefer candidates in San Francisco and Boston, we are open to considering other locations.What We're Looking ForWe are in search of a candidate who:Thinks like a researcher and executes like an engineer: You should be able to formulate hypotheses, conduct experiments, and evaluate results. Our engineers produce research-level code while our researchers implement production systems.Learns quickly and adapts: You will be working in rapidly evolving modalities, so the ability to quickly grasp new domains and thrive in ambiguity is essential.Prioritizes data quality: We hold data quality in high regard; tasks such as filtering, deduplication, augmentation, and evaluation are key responsibilities, not afterthoughts.Solves problems autonomously: Data engineers operate within training groups (pre-training and multimodal). While collaboration is crucial, we expect ownership and self-direction.The WorkDevelop and maintain data processing, filtering, and selection pipelines at scale.Establish pipelines for pretraining, midtraining, supervised fine-tuning, and preference optimization datasets.Design synthetic data generation systems utilizing large language models (LLMs), structured prompting, and domain-specific generative techniques.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

About GranicaGranica is a pioneering AI research and infrastructure company dedicated to creating reliable and steerable representations of enterprise data.We build trust through Crunch, a policy-driven health layer designed to keep extensive tabular datasets efficient, reliable, and reversible. From this foundation, we are developing Large Tabular Models—systems that learn cross-column and relational structures to provide trustworthy answers and automation, complete with built-in provenance and governance.Our MissionThe current limitations of AI are not solely due to model design but also to the inefficiencies of the data that supports it. At scale, every redundant byte, poorly organized dataset, and inefficient data path contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage cutting-edge research in information theory, probabilistic modeling, and distributed systems to create self-optimizing data infrastructures that continuously enhance how information is represented and utilized by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari from Stanford University, merging advancements in information theory and learning efficiency with large-scale distributed systems. We believe that the next major breakthrough in AI will stem from innovations in efficient systems, rather than simply larger models.What You Will CreateGlobal Metadata Substrate. Design and refine the global metadata and transactional substrate that enables atomic consistency and schema evolution across exabyte-scale data systems.Adaptive Engines. Architect systems that self-optimize, reorganizing and compressing data according to access patterns, achieving unprecedented efficiency improvements.Intelligent Data Layouts. Innovate new encoding and layout strategies that challenge the theoretical limits of signal per byte read.Autonomous Compute Pipelines. Spearhead the development of distributed compute platforms that scale predictively and maintain reliability even under extreme load and failure conditions.Research to Production. Partner with Granica Research to transform advances in compression and probabilistic modeling into production-ready, industry-leading systems.Latency as Intelligence. Propel systems forward by optimizing for latency as a key aspect of intelligence.

Join Our Innovative Team at SazabiAs we approach the year 2026, the tech world faces a looming "infinite software crisis." How do we effectively support, maintain, and manage the vast surge in application development?Our solution is Sazabi: the AI-native observability platform designed specifically for dynamic engineering teams.Sazabi empowers teams to inquire about their production systems in straightforward language, visualize operations automatically, and identify root causes up to 10 times faster. Forget about tedious instrumentation, complex dashboard setups, and alert configurations—just get the answers you need.We are proud to be supported by innovators from industry-leading AI companies, including Vercel, Graphite, Daytona, Browserbase, LangChain, and Replit.