Deployed Engineer, Professional Services (NYC)
About The Position
LangChain is seeking a Deployed Engineer to join their Professional Services team. This role involves working directly with enterprise customers to build reliable, production-ready AI agents. The engineer will translate complex enterprise workflows into software specifications, guide customer engineering teams through solutions, or build the solutions themselves. The position requires a strong understanding of AI systems and the ability to make technical trade-offs. LangChain offers a dynamic environment with significant opportunities for impact, backed by substantial funding and a growing customer base across various industries.
Requirements
- 4+ years of software engineering experience with deep expertise in Python.
- 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 Haves
- 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.
Responsibilities
- Advising on agent architecture design, evaluation strategy review, and best-practice production guidance.
- Co-building with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
- Serving 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.
- Handling ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
- Applying AI techniques such as post-training, supervised fine-tuning, harness engineering, trace mining, model selection, and evaluation methodology.
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Flexible vacation
- 401(k) plan
- Meals on in-office days in the US
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
