Deployed Engineer, Professional Services San Francisco - langchain

OpenTalent; San Francisco (CA); On-site; USD 150,000 - 215,000; Full time

Benefits offered by this job

Equity

Job summary

OpenTalent seeks a Deployed Engineer to work with enterprise customers, translating workflows into concrete software specs and guiding engineering teams. You will design agent architectures, co-build evaluation pipelines, and embed with client teams to ship production-grade agent systems.

Bring 4+ years in software engineering with deep Python expertise and 2+ years building production agents. Strong client-facing skills and experience with LangChain/LangGraph/Deep Agents are essential.

Qualifications

• 4+ years of software engineering with strong Python expertise.
• 2+ years building and shipping production agent systems.
• Ability to articulate architectural decisions to technical stakeholders.
• Experience with LangChain/LangGraph/Deep Agents and multi-agent patterns.

Responsibilities

• Advising: agent architecture design and production guidance.
• Building: co-build with customer engineering teams across the ADLC.
• Embedding: serve as a deployed engineer inside the customer's team.
• Agent Engineering: end-to-end ADLC, orchestration, and deployments.
• Applied AI: post-training, fine-tuning, and evaluation methods.

Skills

Python

TypeScript/JavaScript

LangChain

Multi-agent patterns

Communication

Architectural decisions

LangGraph

Deep Agents

Tools

LangChain/LangGraph

Deep Agents

Job description

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

San Francisco, CA

COMPENSATION

$150,000-$215,000 base + equity

Philosophy:

We offer competitive

compensation

that includes base salary, variable

compensation

for relevant roles, meaningful equity,

compensation