Deployed Engineer (Bay Area)

LangChain; San Francisco (CA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Flexible vacation

401(k) plan

Life insurance

Job summary

A leading AI technology company in San Francisco is seeking a Deployed Engineer to co-architect and build production AI agents. The ideal candidate will have 3+ years of experience in a relevant technical role and strong Python and JavaScript skills. Responsibilities include working directly with customers, designing POCs, and advising on architecture. The company offers competitive compensation, benefits, and a dynamic work environment focused on operating AI agents in production.

Qualifications

• 3+ years in a relevant technical role, ideally in a startup or scale-up.
• Experience in designing agent-based or LLM-powered applications.
• Able to work directly with customers during technical evaluations.

Responsibilities

• Co-architect and co-build production AI agents with customer engineering teams.
• Own the technical win in pre-sales by designing POCs.
• Help customers deploy and operate agent-based applications.

Skills

Strong Python

JavaScript

Systems fundamentals

Agent-based applications

Tools

AWS

GCP

Azure

Kubernetes

Job description

About The Role

The Deployed Engineer works on some of the hardest problems in applied AI—systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.

Location

• West: San Francisco, Pacific Northwest, Southern California
• Central: Austin, Chicago, Denver
• East: New York, Atlanta
• EMEA: London, Amsterdam

What You’ll Do

• Co-architect and co-build production AI agents with customer engineering teams
• Own the technical win in pre‑sales by designing POCs, answering deep technical questions, and guiding evaluations
• Help customers deploy and operate agent‑based applications such as conversational agents, research agents, and multi‑step workflows
• Advise customers post‑sale on architecture, best practices, and roadmap‑level decisions
• Run technical demos, trainings, and workshops for developer audiences
• Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
• Occasionally contribute code upstream when it meaningfully improves customer outcomes

What You’ll Bring

• 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale‑up
• Strong Python, JavaScript and systems fundamentals
• Have designed agent‑based or LLM‑powered applications beyond simple API calls, including multi‑step workflows, orchestration, and failure handling
• Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
• Can explain technical tradeoffs clearly and build trust with developer audiences
• Take responsibility for outcomes, not just recommendations
• Have a bias toward action and enjoy figuring things out as you go
• Are excited about operating AI agents in production, not just building demos

Nice to Have

• You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
• Worked with LLM evaluation, observability, or guardrails
• Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
• Have shipped and operated production software and are comfortable owning systems under real‑world constraints

Compensation & Benefits

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. 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.

Annual OTE range: $150,000–$250,000 USD.