Software Engineer - Generative AI

About AbridgeFounded in 2018, Abridge is dedicated to enhancing understanding in healthcare through our innovative AI-powered platform. We specialize in transforming medical conversations into structured clinical notes in real-time, enabling clinicians to prioritize patient care. Our enterprise-grade technology seamlessly integrates with electronic medical records (EMRs) to ensure accuracy and trust in AI-generated summaries.As pioneers in generative AI for healthcare, we are setting the industry benchmarks for responsible AI deployment across health systems. Our diverse team consists of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers united in their mission to empower patients and make healthcare more comprehensible. We have offices located in San Francisco's Mission District, New York's SoHo neighborhood, and East Liberty in Pittsburgh.The RoleJoin us as an AI Platform Engineer, where your work will significantly impact the healthcare sector. You will collaborate with a multidisciplinary team of researchers, clinical scientists, and product engineers to design and develop the runtime, orchestration engine, and evaluation platform necessary for agentic orchestration and LLM-driven workflows.What You’ll DoCreate GenAI systems that transform LLMs into composable, reliable tools, utilizing retrieval, tool use, agentic reasoning, and structured outputs.Develop a highly reliable and scalable agent runtime that includes orchestration, shared state and memory, tool-calling interfaces, and scheduling focused on cost, latency, and quality.Build secure, sandboxed environments for agent actions and code, optimizing for cold start, isolation, and observability.Deliver unified interfaces for multiple model sizes and providers; integrate with open tool ecosystems such as MCP-style connectors.Create an evaluation platform for both online and offline assessments, A/B testing, safety checks, and regression gates that enhance agent reliability over time.Collaborate with Research to bring new agent capabilities from prototype to production.What You’ll BringDemonstrated experience in building agent applications with tool-calling, context engineering, and related technologies.Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.Familiarity with generative AI technologies and their applications in healthcare.

We appreciate your interest in joining the Uncountable Engineering team!About the RoleUncountable is on the lookout for passionate software engineers who specialize in deploying Generative AI within software applications.Our software platform is utilized by scientists at top R&D organizations to efficiently structure and analyze experimental data. The researchers leveraging our platform are tackling significant challenges in materials science, chemistry, biotechnology, and other scientific domains. Our mission is to empower them to overcome these challenges with greater speed and efficiency.In this role, you will harness the latest advancements in large language models (LLMs) to address the everyday obstacles faced by scientists. You will be responsible for developing AI-enhanced search and visualization tools, innovative user experiences utilizing multimodal LLMs, intelligent research assistants, and much more. This is a rare chance to be at the forefront of accelerating scientific innovation through LLMs and generative AI.Your Responsibilities:Design and implement LLM-powered features from start to finish, encompassing both LLM-specific tasks (prompting, latency optimization, behavior tuning/testing) and conventional full-stack development (frontend/backend coding, API design, and database architecture).Create a robust in-house LLM architecture to meet the evolving demands of our product (including API integration, testing, observability, caching, and infrastructure for fine-tuning and inference).At Uncountable, we pride ourselves on a culture of continuous deployment and rapid iteration. You will have the opportunity to release your work frequently to our users and refine it based on their feedback.The features you develop will often represent groundbreaking approaches to software applications, allowing you to take on diverse roles as a designer, researcher, engineer, product manager, and more to craft outstanding products. This position is ideal for individuals eager to quickly enhance their skills and perspectives or those aspiring to start their own ventures in the future.Salary Range: $120K-$160K + Equity

Thank you for your interest in Uncountable Engineering!Position Overview‍Uncountable is on the lookout for passionate software engineers who specialize in the deployment of Generative AI solutions.Our innovative software platform empowers scientists at leading R&D organizations to efficiently structure and analyze experimental data. Users from various disciplines, including materials science, chemistry, and biotechnology, are leveraging our platform to tackle complex problems, and our mission is to expedite their research endeavors.In this role, you will harness the latest advancements in Large Language Models (LLMs) to address real-world challenges faced by scientists daily. Your responsibilities will include developing AI-driven search and visualization tools, next-gen user experiences utilizing multimodal LLMs, intelligent research assistants, and much more. This is a unique chance to contribute to a transformative movement aimed at accelerating scientific discovery through generative AI.Key ResponsibilitiesYou will be tasked with:- Crafting end-to-end LLM-powered features, encompassing LLM-specific tasks (prompting, latency optimization, and behavior tuning/testing) alongside traditional full-stack development responsibilities (frontend/backend coding, API and database design).- Building a robust in-house LLM infrastructure to meet the evolving demands of our products (API integration, testing, observability, caching, infrastructure for fine-tuning and inference, etc.).At Uncountable, we cultivate a strong culture of continuous deployment and rapid iteration cycles. You will frequently ship your work to users and refine it based on their feedback.Many of the features you create will pioneer new and innovative software applications, allowing you to take on varied roles as a designer, researcher, engineer, product manager, and more. This position is ideal for individuals eager to quickly enhance their skills and perspectives or those aspiring to launch their own ventures in the future.Salary Range: $120K-$160K + Equity

At Drivetrain, our mission is to empower businesses to make informed decisions. Our innovative financial planning and decision-making platform enables companies to scale effectively and meet their objectives predictably.As a remote-first organization based in the San Francisco Bay Area, Drivetrain was founded in 2021 by former Google employees. With the support of leading venture capital firms, we are rapidly growing and poised for success. Embracing Remote Work: We unite talented individuals from around the world, offering them a high degree of autonomy and fostering a culture of trust. Open and Transparent Environment: By providing our team with access to essential information, we encourage the emergence of their best ideas. Idea-Friendly Culture: We cultivate an atmosphere where innovation thrives, allowing anyone to propose great ideas and drive positive change. Customer-Centric Approach: Our product-led growth strategy emphasizes continuous learning from our customers to develop exceptional software.Role OverviewWe are on the lookout for enthusiastic Computer Science engineering interns who are passionate about Generative AI. You will engage in real-world projects involving Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to elevate our Financial Planning & Analysis (FP&A) platform. This internship provides a unique opportunity to gain practical experience at the intersection of AI and enterprise automation.Key ResponsibilitiesDevelop and Innovate: Create and prototype Generative AI solutions using RAG, agentic workflows, and LLMs tailored for FP&A applications.Collaborate: Partner with product and engineering teams to seamlessly integrate AI-driven functionalities into our platform.Optimize: Utilize strong computer science principles to design efficient algorithms, data structures, and scalable systems.Document and Present: Thoroughly document your projects, create workflow diagrams, and present findings to the team.Showcase: Complete and demonstrate comprehensive projects that exhibit your technical prowess and problem-solving abilities.

Role overview Harvey seeks a Staff Software Engineer to strengthen the AI Platform team in San Francisco. The position focuses on designing and building advanced software solutions that extend the platform’s AI features. Collaboration is central to this role. The engineer will work closely with colleagues across different teams to deliver systems that are both scalable and efficient. Every project supports Harvey’s broader mission and long-term goals. What you will do Design and implement software components that enhance AI capabilities Work with teams throughout the company to deliver reliable, high-performance systems Contribute to platform improvements that support Harvey’s mission Location This position is based in San Francisco.

About Scale AI At Scale AI, we are on a mission to revolutionize the development of artificial intelligence applications. Over the past eight years, we have established ourselves as the premier AI data foundry, driving groundbreaking advancements in generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding round, we are poised to expand our capabilities in providing frontier data, furthering our commitment to achieving Artificial General Intelligence (AGI). Our focus remains on enhancing model evaluation processes for both enterprise clients and government entities. About the Data Engine Our Generative AI Data Engine is instrumental in powering the most sophisticated large language models (LLMs) and generative models through exceptional Reinforcement Learning with Human Feedback (RLHF), human data generation, model evaluation, safety measures, and alignment. The data we generate plays a crucial role in shaping how humanity interacts with AI technologies. About the Billing Team We are actively seeking innovative Software Engineers to join our dynamic Billing Platform team. In this pivotal role, you will spearhead the development of our revenue tracking and billing system for Generative AI products. Your responsibilities will include designing versatile systems to accommodate diverse customer billing scenarios, implementing intricate billing partitioning strategies based on real-time criteria, and enhancing customer invoice generation along with balance visibility. You will gain extensive exposure to cutting-edge AI applications across enterprises, startups, government agencies, and major technology firms. The ideal candidate is a naturally entrepreneurial engineer who thrives in ambiguous environments, taking charge of outcomes through coding, customer interaction, requirements definition, and more. We believe that the most effective engineers take ownership of outcomes and possess a profound understanding of customer challenges.

About the RoleHinge Health is a leading digital health company dedicated to delivering innovative, evidence-based solutions for musculoskeletal (MSK) pain management. Our unique approach combines personalized exercise therapy with virtual care, empowering individuals to effectively manage chronic pain and enhance their quality of life, all while reducing healthcare costs. By partnering with employers and health plans, we aim to scale our solutions and improve overall employee health and productivity.Join our dynamic AI platform team at Hinge Health, where we are at the forefront of revolutionizing how businesses harness the power of Artificial Intelligence. We are searching for a Senior Software Engineer with a robust background in software engineering and a passion for AI to contribute to our mission.As a Senior Software Engineer, you will play a crucial role in developing and maintaining vital components of our AI infrastructure. You will collaborate closely with engineers and data scientists to ensure the platform effectively supports the intricate needs of AI models and machine learning workflows.Our team thrives in a continuous deployment DevOps culture, taking pride in maintaining high standards of code in production. Our production systems leverage technologies such as React Native, React, Node.js, TypeScript, Python, Nestjs, GraphQL, Docker, AWS, Postgres, Redis, Apollo, and Redux. We follow a trunk-based CI/CD workflow and uphold the highest security and compliance standards, including HIPAA, HITRUST, SOC 2, and CCPA.What You'll AccomplishCollaborate with the AI/ML team to effectively integrate models and agents into the platform, ensuring seamless deployment.Write clean, maintainable code with a focus on performance, reliability, and scalability.Develop and sustain APIs and microservices that facilitate AI model and agent deployment and data processing.Troubleshoot and resolve platform performance, integration, and reliability issues.Work alongside cross-functional teams to gather technical requirements and deliver efficient solutions.Contribute to ongoing improvements in the AI platform’s systems and workflows, providing ideas and feedback during architectural discussions.Hinge Health Hybrid ModelWe recognize that both remote and in-person work offer unique benefits, and we aim to capitalize on the strengths of both approaches. Employees in hybrid roles enjoy the flexibility of working from home while also engaging in person as needed.

About Scale AIAt Scale AI, we are dedicated to accelerating the advancement of AI technologies. For over eight years, we have been a frontrunner in AI data solutions, driving groundbreaking developments in areas such as generative AI, defense systems, and autonomous vehicles. Following our recent Series F funding, we are committed to expanding access to frontier data, paving the way toward Artificial General Intelligence (AGI), while enhancing our model evaluation capabilities for both corporate and governmental clients.About Data EngineOur Generative AI Data Engine fuels the world's most sophisticated language models and generative systems through exceptional Reinforcement Learning with Human Feedback (RLHF), human data creation, model assessment, safety measures, and alignment strategies. The data we generate is pivotal in shaping how humanity interacts with AI.Our ApproachDuring the interview process, candidates may be considered for positions across various teams within the Generative AI Engineering division, depending on their interests, skills, and organizational needs. Potential teams include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams drive Scale’s AI data operations—from developing impactful datasets that expand LLM capacities to refining contributor engagement and ensuring data integrity through advanced safety and security protocols. They operate at the intersection of machine learning, operations, and analytics to guarantee the delivery of high-quality data at scale.

At ClickUp, we are not just creating software, we are crafting the future of work! In a landscape saturated with work complexities, we envisioned a better solution. This vision led to the development of the first genuinely integrated AI workspace, seamlessly combining tasks, documents, chat, calendar, and enterprise search, all enhanced by context-sensitive AI. This empowers millions of teams to break down barriers, reclaim their time, and elevate productivity to new heights. Here at ClickUp, you will have the chance to learn, leverage, and innovate with AI in ways that will not only transform our product but also redefine the future of work itself. Join us in being part of a daring, innovative team that is reshaping possibilities! Role Overview:We are in search of a highly talented and experienced Staff AI Engineer – AI Platform to become a vital member of our ClickUp Engineering team. In this pivotal role, you will significantly contribute to the development of our core AI platform and directly utilize large language models (LLMs) to implement intelligent features across ClickUp. Your focus will be on back-end systems that facilitate scalable, dependable, and secure AI-driven capabilities, while also engaging hands-on with LLMs to address real user challenges and propel product innovation.Key Responsibilities:Design, architect, and implement scalable AI platform services to support the deployment, orchestration, and lifecycle management of LLMs and other AI models.Utilize LLMs and other AI technologies to build and enhance ClickUp’s intelligent features, collaborating closely with product and engineering teams to deliver impactful solutions.Develop and maintain robust APIs and backend systems that facilitate seamless integration of AI-enhanced features into ClickUp’s core platform.Create infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.Integrate with various LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost-efficiency.Promote best practices in AI privacy, security, and compliance, including data anonymization and secure data handling.Optimize platform performance, scalability, and cost-efficiency, utilizing cloud-native technologies and distributed systems.Stay abreast of advancements in AI infrastructure, MLOps, and LLM applications, and proactively apply relevant innovations to ClickUp’s AI platform.Collaborate cross-functionally with teams to drive AI initiatives.

In a world where software is rapidly evolving, artificial intelligence (AI) is at the forefront, transforming how we interact with technology. At Scale AI, we recognize the immense potential of AI to enhance human capabilities, offering personalized support across various aspects of life—from coaching and tutoring to shopping and travel guidance. As enterprises, startups, and governments rush to integrate large language models (LLMs) into their operations, it is crucial to ensure these systems are safe, aligned, and effective. This involves rigorous human evaluation and reinforcement learning through human feedback (RLHF) during all stages of model development.Our innovative products, including the Generative AI Data Engine, SGP, and Donovan, are designed to empower the most advanced LLMs and generative models globally. By leveraging world-class RLHF, human data generation, model evaluation, safety, and alignment, we are shaping the future of human-AI interaction.As a member of our Platform Engineering team, you will play a pivotal role in designing and developing the foundational platforms that support Scale's operations. Your responsibilities will include architecting our core cloud infrastructure, enhancing our data lifecycle, and transforming the software development process for engineers at Scale. You will gain invaluable insights into the AI landscape as it develops within diverse sectors.

Join Databricks as a Staff Backend Software Engineer on our cutting-edge AI Platform team. We are on a mission to simplify data and AI for enterprises worldwide. In this role, you will be pivotal in developing robust backend systems that support our AI initiatives, driving innovation and efficiency.As a member of our dynamic team, you will work with the latest technologies and methodologies to create scalable solutions that meet the needs of our clients. Your expertise will help shape the future of our AI Platform, delivering exceptional user experiences and insights.

About Scale AIAt Scale AI, we are dedicated to revolutionizing the development of artificial intelligence applications. For eight years, we have established ourselves as the foremost AI data foundry, driving groundbreaking advancements in areas such as generative AI, defense applications, and autonomous vehicles. With our recent Series F funding round, we are poised to enhance the availability of frontier data, paving the way towards Artificial General Intelligence (AGI). Our commitment extends to refining our model evaluation expertise for enterprise clients and government entities, thereby enriching our capabilities for both public and private assessments.About the Generative AI Data EngineOur Generative AI Data Engine empowers the most sophisticated LLMs and generative models through premier Reinforcement Learning with Human Feedback (RLHF), human data generation, model evaluation, safety, and alignment. The data we generate is pivotal for shaping humanity's interaction with artificial intelligence.Our ApproachDuring the interview process, candidates may be considered for various roles across different teams within the GenAI Engineering organization based on their skills, interests, and business needs. Potential placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. These teams are instrumental in scaling Scale AI’s operations - from curating impactful datasets that enhance LLM capabilities to optimizing contributor onboarding and ensuring data integrity through advanced safety and security protocols. They operate at the crossroads of machine learning, operations, and analytics to guarantee that we deliver top-tier data at scale.Key Responsibilities:Design, develop, and maintain robust, scalable systems across the entire stack, including front-end, back-end, and infrastructure.Implement high-impact features using contemporary technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal.Work collaboratively with internal operators to identify bottlenecks and deliver rapid, effective solutions.Take ownership of core systems crucial to our contributor platform, directly influencing Scale’s GenAI data pipeline and overall business outcomes.Architect and scale infrastructure to manage millions of tasks weekly with high reliability and low latency.Collaborate cross-functionally with ML teams, Forward Deployed Engineers, and Product to maintain data quality and operational excellence.Contribute to fostering a robust engineering culture while setting best practices for peers through mentorship, code reviews, and process improvement.

Join Databricks as a Staff Backend Software Engineer on our AI Platform team, where you will play a pivotal role in shaping the future of data analytics and machine learning. You will work collaboratively with talented engineers to design, develop, and enhance robust backend systems that drive our cutting-edge AI solutions. Your innovative mindset and technical expertise will help us deliver unparalleled value to our customers.

Join our innovative team at Databricks as a Staff Backend Software Engineer focusing on our cutting-edge AI Platform. In this pivotal role, you will be responsible for designing, developing, and optimizing backend systems that empower data scientists and engineers to build AI applications efficiently.As a key contributor, you will work closely with cross-functional teams to deliver scalable solutions that enhance our platform's capabilities. Your expertise will drive the development of robust features that support machine learning workflows and big data processing.

Join Databricks as a Staff Backend Software Engineer for our cutting-edge AI Platform. In this pivotal role, you will design and implement robust backend systems that power innovative AI solutions. Collaborate with a talented team to drive impactful projects and shape the future of data and AI.

Join the Team at Bretton AIBretton AI stands at the forefront of artificial intelligence in the financial services sector, providing an essential platform that organizations like Robinhood, Mercury, and Gusto rely on to streamline critical tasks, including anti-money laundering and counter-terrorism efforts.With over $95 million raised from renowned investors such as Greylock, Y Combinator, and Thomson Reuters Ventures, we are located in the heart of San Francisco. Our talented team hails from prestigious companies including SpaceX, Google, Netflix, Stripe, and Plaid.Your RoleAs a Platform Engineer, you will be instrumental in constructing and maintaining the infrastructure that underpins our compliance solutions at scale. You will take charge of reliability, performance, and scalability across our core platforms.Your responsibilities will include designing Postgres schemas, optimizing queries, developing high-throughput services, orchestrating long-running workflows with Temporal, and ensuring we maintain a commitment to a remarkable 99.9%+ uptime for our clients who process thousands of cases daily.In this role, you'll produce backend code for production, design distributed systems, and manage the infrastructure that allows our product teams to deploy rapidly and efficiently.Key ResponsibilitiesDevelop APIs and services capable of managing thousands of concurrent requests.Create ingestion → assessment → delivery pipelines for our case management.Implement Temporal workflows to manage long-running, stateful processes.Design and refine PostgreSQL schemas and queries for compliance workflows.Oversee CI/CD, deployments, and infrastructure-as-code while enhancing observability through logging, tracing, and metrics.Troubleshoot slow queries, memory leaks, and race conditions in our production systems.What We're SeekingEssential Qualifications4+ years for Engineer / 6+ years for Sr. Engineer / 8+ years for Staff Engineer in backend or infrastructure roles.Strong understanding of systems fundamentals, including distributed systems, databases, APIs, and concurrency.Demonstrated production experience with live systems, including debugging, incident response, and participation in on-call rotations.

In a world where software is rapidly evolving, artificial intelligence is at the forefront of this transformation. At Scale AI, we recognize the immense potential of AI to significantly enhance human capabilities. Imagine having a personal tutor, coach, assistant, shopper, travel guide, and therapist available to you throughout your life. As global industries adapt to this revolutionary landscape, leading platform companies are racing to develop large language models (LLMs) at an unprecedented scale, while enterprises strive to integrate these technologies into their existing products. Ensuring these models are safe, aligned, and genuinely useful requires meticulous human evaluation and reinforcement learning from human feedback (RLHF) throughout their development cycle. This innovative approach has given ChatGPT a substantial advantage in the marketplace.At Scale, our offerings include the Generative AI Data Engine, SGP, Donovan, and other advanced tools that drive the most sophisticated LLMs and generative models globally. Our world-class RLHF, human data generation, model evaluation, safety, and alignment are crucial in shaping how humanity will interact with AI.The backbone of these products is our Platform Engineering team. As a Staff Software Engineer, you will play a pivotal role in defining and executing the architectural roadmap and implementation of essential platforms and software systems. You will provide a visionary approach while promoting adoption across our engineering organization for orchestration, data abstraction, data pipelines, identity and access management, and foundational cloud infrastructure. This role offers the opportunity to engage with cutting-edge AI advancements as Scale collaborates with enterprises, startups, governments, and leading tech companies.

Role overview MongoDB is seeking a Head of AI Platform, General Manager to lead its AI strategy and drive key projects. This senior leader will play a central role in shaping the future of AI at MongoDB, working closely with teams across the organization to strengthen AI capabilities. What you will do Set the overall AI platform strategy for MongoDB Oversee AI initiatives from initial concept to final delivery Work with engineering, product, and business teams to embed AI into MongoDB’s platform Evaluate and introduce new technologies that enhance MongoDB’s AI solutions Develop and communicate a long-term vision for AI at MongoDB Location This role can be based in New York City, San Francisco, or performed remotely from anywhere in the United States.

About Tenable:Tenable® is at the forefront of Exposure Management. With 44,000 organizations worldwide counting on us to mitigate cyber risk, we empower 65% of the Fortune 500, 45% of the Global 2000, and numerous governmental agencies. Join us in redefining the cybersecurity landscape!Why Choose Tenable?When you ask our team about what makes Tenable a fantastic workplace, the answer is simple: our people! Together, we innovate cutting-edge cybersecurity solutions, fostering a culture of inclusion, respect, and excellence. As part of the #OneTenable team, you'll collaborate with some of the industry's most talented professionals while having access to the resources necessary to make a meaningful impact. We strive to deliver exceptional results and celebrate our victories together!Note: Applicants must be authorized to work in the U.S. without sponsorship. We currently cannot sponsor work visas.Location: Must reside in or be willing to relocate to the San Francisco/San Jose area.Your Role:At Tenable, we're not just creating exceptional products; we're cultivating a premier engineering culture dedicated to hiring top talent. We are seeking a Senior Software Engineer to be part of a pioneering initiative within our engineering team. In this role, you will design and implement the Agentic AI Platform, an orchestration layer that empowers autonomous agents to reason, plan, and execute intricate security workflows within our Exposure Management ecosystem.This role is highly hands-on and has a significant impact. You won't merely be utilizing LLMs; you'll be constructing distributed systems, state machines, and tools that transform generative models into reliable, enterprise-grade agents.While this role is primarily remote, occasional in-person meetings may be necessary.Your Opportunity:Construct the Agentic Backbone: Design and implement backend services that facilitate multi-agent workflows, enabling AI agents to break down complex user requests, manage states, and execute tasks across distributed microservices....