Deployed Engineer, Professional Services (NYC)
LangChain
Deployed Engineer, Professional Services (NYC) at LangChain is a full time role based in Remote · New York, New York, United States (remote). The listing states pay of $150k–$215k. It was published on 27 August 2026 and was open at last check.
| Role | Deployed Engineer, Professional Services (NYC) |
|---|---|
| Company | LangChain |
| Location | Remote · New York, New York, United States (remote) |
| Employment type | Full Time |
| Pay (as listed) | $150k–$215k |
| Published | 27 August 2026 |
| Status | Open at last check |
About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
Key Responsibilities
- Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
- Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
- Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
- Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
- Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
Requirements
- 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
- 2+ years of hands-on experience building and shipping production agent systems.
- Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
- Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
- Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
- Comfortable operating across the full spectrum from advisory to embedded delivery.
Nice to Have
- Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face
transformers, or TRL. - Experience with trace mining to drive continuous improvement loops
Location
New York, New York
Compensation
$150,000-$215,000 base + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Create your free OnJob profile to apply — we'll take you to LangChain's application after sign-up. · Posted 27 Aug 2026.
Deployed Engineer, Professional Services (NYC) at LangChain — questions answered
What does the Deployed Engineer, Professional Services (NYC) role at LangChain pay?
The Deployed Engineer, Professional Services (NYC) at LangChain listing states pay of $150k–$215k for the Remote · New York, New York, United States (remote) position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.
Is the Deployed Engineer, Professional Services (NYC) role at LangChain remote?
Yes — LangChain advertises this Deployed Engineer, Professional Services (NYC) role as remote, tied to Remote · New York, New York, United States, and it is listed as full time work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with LangChain before you apply.
Is the Deployed Engineer, Professional Services (NYC) role at LangChain still open?
The Deployed Engineer, Professional Services (NYC) posting at LangChain was open at OnJob's last check of the employer's careers page, having been published on 27 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Deployed Engineer, Professional Services (NYC) role at LangChain?
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