LangChain Jobs

Scale AI

As a Senior Staff Frontier Agents Engineer, you will be the technical bridge between Scale AI's advanced AI capabilities and our most strategic enterprise customers. This role involves understanding customer challenges, architecting custom AI solutions, and ensuring successful deployment and adoption of AI systems in production. You will work hands-on with customer engineering teams to integrate AI into their critical workflows, combining deep engineering expertise with customer-facing problem-solving.

$288k - $360k

Accenture

We are building the next generation of AI-native engineering talent, where AI is a core part of how engineers work, not an add-on. As an AI Engineer, you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling as a standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems, understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This role offers breadth across every industry and enterprise technology stack, combined with vendor fellowship access inside leading AI companies, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering.

We are seeking a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks. You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership.

Accenture

We are seeking AI Native Software Engineers to design, develop, and deploy production-grade software across the full stack, leveraging AI-assisted development tools as a core part of the workflow. You will work on real client projects, building applications that integrate with modern AI systems, including agentic architectures, LLM-powered solutions, and enterprise AI platforms. This role is for individuals looking to build a long-term career in AI-native software engineering, not an entry point into AI.

We are seeking an Applied AI Engineer to join our team and build AI-powered features that enhance our product experience and drive business outcomes. This is a hands-on, product-focused role where you will take ideas from concept to production, designing intelligent systems, validating them with users, and transforming them into reliable, scalable services. You will collaborate with cross-functional teams to identify high-impact opportunities, prototype rapidly, and iterate based on data, owning the full lifecycle from experimentation and evaluation to deployment and continuous improvement. The ideal candidate is passionate about applying LLMs and modern ML tooling to real-world challenges, with a strong understanding of systems, tradeoffs, and outcomes, prioritizing performance, quality, latency, and cost in production.

$215k - $250k

LangChain is seeking an Engineering Manager to lead the team responsible for building LangSmith, our observability and evaluation platform for LLM applications. This role involves defining the technical direction, nurturing a talented engineering team, and collaborating with product and design to deliver features that empower developers to build and deploy trustworthy AI systems. You will play a key part in shaping the future of AI observability at scale, contributing to a company that has raised $125M and is experiencing rapid growth.

$200k - $250k

LangChain is seeking an Engineering Manager to lead the team responsible for building LangSmith, our observability and evaluation platform for LLM applications. This role involves defining the technical direction, mentoring a team of engineers, and collaborating with product and design to deliver features that empower developers to build and deploy trustworthy AI systems. You will foster a culture of collaboration, ownership, and technical excellence, ensuring the scalability and reliability of our platform. The position requires a strong technical background and a bias towards shipping quickly while learning from customers.

$220k - $270k

Prime Intellect is building the open superintelligence stack, a platform designed to unify compute, environments, evaluations, and high-performance training for AI labs. Their platform, Lab, supports full-stack systems for post-training at frontier scale, including SFT, RL, tool use, agent workflows, and continuous model improvement. They are focused on creating open-source models for long-horizon tasks like autonomous research and the platform their own research team uses. The company aims to provide AI companies and research teams with the ability to transform their workflows, tools, and data into owned superintelligence.

$150k - $300k

As a Senior AI Engineer, you will be at the forefront of our Generative AI initiatives, treating AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features, taking them from initial prototype to robust, scalable production services, while solving for real-world constraints like latency, error handling, and cost optimization. You’ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a blend of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable.

$159k - $219k

Prime Intellect is developing an open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, integrates compute, environments, evaluations, secure sandboxes, and high-performance training for post-training at scale, including SFT, RL, tool use, agent workflows, and continuous model improvement. They are building open-source frontier AI models for long-horizon tasks and the platform their research team uses. The role focuses on building post-training and agent systems for national institutions, public-sector organizations, and regulated industries, addressing needs for models and agents that operate within strict boundaries for data, deployment, access, auditability, and human authority, while enabling self-improvement without external model dependency.

$150k - $300k

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at scale, including SFT, RL, tool use, and agent workflows. They are focused on open-source models trained for long-horizon tasks and the platform used to build them. The company has raised significant funding from prominent investors and is seeking individuals to work at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

Prime Intellect is building an open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at scale, including SFT, RL, tool use, agent workflows, and continuous model improvement. They are focused on open-source models for long-horizon tasks and the platform their research team uses. The company has raised significant funding from prominent investors and is looking for individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

Prime Intellect is developing an open superintelligence stack, providing infrastructure that AI labs typically build internally to ambitious AI teams. Their platform, Lab, integrates compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at scale, covering SFT, RL, tool use, agent workflows, and continuous model improvement. They are focused on building open-source frontier AI models trained for long-horizon tasks and the platform their research team uses. The company has secured significant funding from prominent investors and AI leaders, and is seeking individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training/deployment for post-training at scale, including SFT, RL, and agent workflows. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised significant funding and is looking for individuals passionate about frontier research, infrastructure, and go-to-market strategies in a nascent category.

$150k - $350k

As a Staff Forward Deployed Engineer (FDE) at Invisible, you will lead high-impact, AI-powered solutions that reshape how clients operate their most critical workflows. You will drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This hybrid role combines AI engineering, software building, and technical consulting, making it ideal for someone who wants to be hands-on with models and close to their impact. The team is increasingly focused on applied AI work, building and deploying LLM-powered and agentic systems in production.

$210k - $300k

As a Principal Forward Deployed Engineer at Invisible, you will lead high-impact, AI-powered solutions that reshape how clients operate their most critical workflows. You will drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This role is a hybrid of AI engineering, software building, and technical consulting, ideal for someone who wants to be hands-on with models and close to their impact. The team is increasingly focused on applied AI work, building and deploying LLM-powered and agentic systems in production, making strong ML engineering instincts a valuable addition to architecture and leadership experience.

$250k - $300k

As a Senior Software Engineer, Forward Deployed Engineer (FDE), you will collaborate directly with clients and internal delivery teams to build and deploy AI-powered solutions. You will own projects end-to-end, from scoping ambiguous problems and prototyping AI workflows to deploying scalable systems. This hybrid role combines AI engineering, software development, and technical consulting, offering a hands-on experience with models and their impact.

$180k - $264k

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at frontier scale. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised $150M from prominent investors and AI leaders. They are seeking individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category. This role focuses on building the data foundation for Prime Intellect's next generation of open models. You will identify and process valuable data sources, transforming them into training-ready corpora. Your work will directly influence both broad pretraining efforts and the development of specific capabilities like reasoning, coding, and long-context learning. You will collaborate closely with researchers to test and refine data strategies, ensuring the data effectively improves model performance.

$150k - $350k

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, alongside the full-stack platform our research team utilizes. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment. We are developing open-source models trained end-to-end for long-horizon tasks and the platform our research team uses to build them. This role is for someone who wants to build at the intersection of frontier research, real infrastructure, and go-to-market for a new category. As a Research Engineer, you will build the tasks and environments that train our models through RL, and the evaluations that measure their capabilities. You will collaborate directly with researchers to diagnose model failures, examining both task implementation and success scoring.

$150k - $350k