LangGraph Jobs

Join the new Agentic Engineering team, focused on automating code generation, testing, and tuning across NVIDIA's frameworks, compilers, and developer tooling. This is a greenfield opportunity offering foundational technical influence within a high-autonomy team. You will partner directly with early-adopter teams to translate complex requirements into durable, scalable infrastructure, applying modern AI to the craft of engineering itself. The role involves identifying friction points where agentic workflows can have the highest impact and iterating with teams as they integrate agents into production.

$224k - $357k

As a Deployed Engineer, you will work on challenging applied AI problems, focusing on production systems that support real-world missions for defense, civilian, and intelligence customers. You will help design, deploy, and operate AI agents within secure, regulated, and high-stakes environments. This role offers a fast feedback loop, tangible mission impact, and the opportunity to directly influence the deployment of AI agents across the federal landscape. You will operate in environments demanding security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor, working closely with government engineers and system integrators throughout the entire lifecycle.

$185k - $300k

LangChain is building the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. With significant funding and a rapidly growing platform that includes open-source tools and a commercial offering, team members have a meaningful impact on shaping the future of AI technology. The Deployed Engineering team works directly with companies building and running AI agents in production, partnering closely with customer engineers across the full lifecycle to achieve technical wins and ensure reliable operation at scale using the LangChain suite. This role sits at the intersection of engineering, product, and go-to-market, feeding real-world insights back into the platform.

$185k - $300k

LangChain is seeking a Deployed Engineer to join their team in NYC. This role focuses on building and running AI agents in production, moving beyond prototypes to create reliable systems that real teams depend on. You will work directly with customer engineering teams, co-architecting and co-building AI agents, and owning the technical win in pre-sales by designing POCs and guiding evaluations. The position involves helping customers deploy and operate agent-based applications, advising on architecture and best practices, and running technical demos and trainings. This is a hands-on, highly technical role at the intersection of engineering, product, and go-to-market, with a fast feedback loop and visible impact on how AI agents are built in the real world.

$185k - $315k

Snorkel AI is seeking a Staff Applied AI Engineer to join their frontier AI data lab. In this role, you will research and implement state-of-the-art Generative AI and machine learning techniques to deliver impactful solutions for customers. You will work directly with clients to understand their needs, design AI solutions, and contribute to Snorkel's tooling by translating real-world challenges into reusable recipes and workflows. This position is ideal for individuals who enjoy solving complex problems, bridging AI technology with business value, collaborating with customers, staying current with AI research, and standardizing solutions into internal tooling.

$230k - $360k

LangChain is seeking a Senior Fullstack Engineer to join the team building LangSmith, their commercial observability and evals platform. This role offers the opportunity to significantly influence the platform's technical direction while collaborating with enterprise customers, developer end-users, and internal stakeholders. You will be instrumental in shaping the future of AI agent engineering by contributing to a product used by a significant portion of the Fortune 500.

$175k - $240k

LangChain is building the foundation for agent engineering, enabling developers to create production-ready AI agents. With significant funding and a rapidly growing platform, the company offers open-source tools and a comprehensive platform for building, evaluating, deploying, and operating agents at scale. The LangSmith team specifically focuses on building the core platform for observability, evaluation, and production reliability of AI systems, including tracing, annotation, and run rules. This role is crucial for defining what AI observability looks like at production scale.

$180k - $240k

This role focuses on partnering directly with companies to build and operate AI agents in production, transforming prototypes into reliable systems. It's a hands-on, technical position that involves working closely with customer engineers throughout the entire lifecycle, from pre-sales evaluations to post-deployment support. The core objective is to achieve technical success by co-designing agent architectures and ensuring customers can reliably operate these agents at scale using the LangChain suite. This position sits at the intersection of engineering, product, and go-to-market, influencing LangChain's adoption and providing valuable real-world insights back to the platform.

$185k - $315k

LangChain is seeking a Deployed Engineer to join their early-career team in NYC. This role focuses on helping customers build and run AI agents in production, bridging the gap between prototypes and reliable, scalable systems. You will work directly with customers, co-architecting and co-building AI agents, owning technical wins in pre-sales, and advising on deployment and operation. This is a hands-on, technical position at the intersection of engineering, product, and go-to-market, where your insights will directly shape the future of AI agent development and adoption.

$160k - $185k

This role focuses on working directly with customers to build and deploy production AI agents, tackling complex problems in applied AI. You will help customers adopt innovative agentic engineering practices and ensure they ship reliable agents into production quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. This is a hands-on, highly technical role that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work, focusing on achieving technical wins and co-designing agent architectures.

$160k - $185k

Full time • San Francisco, CA • $180K – $240K • 2 openings Parameter builds AI agents that do offensive security work. Our agents run autonomous penetration tests against production applications and cloud environments, finding IDORs, broken access control, XSS, and infrastructure misconfigurations that scanners miss and that human pentest firms only look for once or twice a year. We are not a theoretical security company. Our team has responsibly disclosed real, high-severity vulnerabilities to well-known technology companies, and our findings are the front door to most of our customer relationships. You'll build the agent systems that do the actual hacking. That means designing the reasoning loops, tool interfaces, and memory architecture that let an LLM behave like a competent offensive security researcher rather than a fuzzer with good manners. The title points at where you'll spend most of your time. Expect the rest of the week to go wherever the work is: agent systems one day, the product the next, a customer call or a report that has to go out after that. We are small enough that everyone works across every product, and we hire people who want that. What you'll do - Design and ship agent workflows in LangGraph and Temporal that plan, execute, and verify multi-step exploitation chains - Build the tool layer the agents operate through: HTTP clients, auth handling, browser control, cloud enumeration, payload generation - Own the eval loop. We use Braintrust and Langfuse. You'll define what “good” means for agent runs and make the number go up - Reduce false positives, which is the single hardest problem in this space and the thing customers care most about - Manage inference cost and latency at scale, including prompt caching, context strategy, and model selection across Claude and Bedrock What we're looking for - 3+ years of software engineering, with at least one year building production LLM systems (not just prototypes or demos) - Strong TypeScript. Comfortable with async, distributed systems, and long-running workflow orchestration - Real intuition for context engineering, tool design, and why agents fail in the wild - You measure things. You've built or maintained an eval harness and know why offline metrics diverge from production behavior - Bonus: security background, CTF experience, bug bounty history, or a track record of breaking things you were not supposed to break Interview process - Intro call with a founder (30 minutes) - Technical deep dive on your past work (60 minutes) - Paid work trial or take-home, scoped to roughly one day - Onsite in San Francisco with the team - References and offer Stack TypeScript · LangGraph · Temporal · GCP · AWS Bedrock · Anthropic API · Langfuse · Braintrust · GitHub Actions · Linear · Graphite We move quickly. Our target is an offer within two weeks of first contact. Small team, high trust, extremely fast. If you want to see your work in front of customers within days, this is that. This role is onsite in San Francisco. You must be authorized to work in the US; we are not able to sponsor visas at this time.

$180k - $240k

Elastic is seeking an innovative Agentic AI Engineer to join their IT team. This role will focus on building multi-agent ecosystems that go beyond simple chat to collaborate, delegate tasks, and execute complex business processes across the organization. You will work with large language models (LLMs), agent orchestration, and agent-to-agent (A2A) integration frameworks to power an intelligent workforce. The goal is to create workflows for multiple agents, enabling them to communicate, share information, access enterprise tools, and automate tasks, ultimately empowering internal teams with cutting-edge LLM capabilities and integrating seamlessly with enterprise systems.

$94k - $179k

SambaNova is seeking a Senior Principal AI Solutions Engineer, a hands-on technical leader responsible for setting the technical direction of their solutions portfolio and actively building agentic applications. This role involves transforming customer problems into polished, production-ready applications rapidly. You will work across the entire modern AI stack, including open-weight models, agent frameworks, self-improving evaluation loops, multimodal and voice pipelines, and user-friendly front-end interfaces. You will lead engagements with strategic customers, mentor the solutions team, and provide valuable feedback to the platform. This position requires expertise in designing and building reliable single- and multi-agent systems with advanced features like planning, tool/function calling, and long-running workflows. You will also develop feedback loops for continuous improvement of agents, including automated evaluations and fine-tuning. A key aspect is setting up robust evaluation, tracing, and guardrails to ensure quality, cost-effectiveness, and latency for deployed solutions.

$234k - $286k

Haven Safety AI is building an enterprise learning intelligence layer for safety, designed to help high-risk organizations learn faster from incidents and prevent future occurrences. The platform integrates with existing EHS systems to enhance incident investigation, assessment, and learning processes. It leverages current incident evidence, company knowledge, historical cases, and an industry knowledge graph, with specialized AI agents analyzing various data points to produce traceable assessments. This role is a build-and-operate position focused on the AI and LLM engineering layer, connecting the evidence base and knowledge graph to the product experiences used by investigators and safety leaders. The work is technically demanding and operationally critical, serving enterprise customers in regulated, safety-critical industries where precision, traceability, evaluation, and human oversight are paramount.

Accenture

You will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. You will gain breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside leading AI companies and a direct pathway to advanced engineering programs.

Accenture

We are seeking AI-native engineers who integrate AI as a core part of their workflow, not as an add-on. In this role, you will design, build, and ship production-grade software across the full stack, leveraging AI-assisted tooling as a standard daily practice alongside your core engineering skills. You will work on client programs across various industries, building software that connects to and supports agentic AI systems. This involves understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is a core engineering function with a direct pathway to advanced roles for those who develop agentic depth.

LangChain is seeking an experienced frontend engineer to develop and enhance new features on LangSmith, their enterprise platform for LLM application observability, testing, and debugging. This role is crucial for building the foundation of agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. The LangSmith team owns and builds the core platform for observability, evaluation, and production reliability of AI systems, from tracing and annotation to run rules and evaluations.

$170k - $235k

Sierra is seeking a Software Engineer to join its Public Sector team, focusing on designing and building production-grade AI agents for government institutions. This role involves close collaboration with industry leadership to shape market strategy and product development, as well as working directly with public sector customers to understand their needs and identify opportunities for AI to improve citizen services and government operations. The position offers a unique opportunity to influence the evolution of Sierra's core platform by surfacing unmet needs and prototyping new features, contributing to the future of AI agent development within the public sector.

$180k - $390k

We are seeking a highly technical and strategic Senior Technical Lead to join our team, focusing on engaging developer ecosystems across emerging technology domains such as Generative AI, Autonomous Vehicles, and Simulation Platforms. You will work directly with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges.

$224k - $357k

WRITER is seeking a highly skilled fullstack software engineer to join their engineering team building advanced AI-driven agent systems. These systems will execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. The role involves designing, building, and scaling next-generation AI agents that integrate with enterprise data and services to solve real-world problems. Collaboration with cross-functional teams to translate complex agent concepts into production-ready systems is a key aspect of this position. WRITER is a rapidly growing company in the enterprise generative AI space, backed by significant investors and used by major enterprises.

$132k - $240k