# Deployed Engineer

**Company:** [LangChain](https://hotfix.jobs/companies/langchain)
**Location:** London, United Kingdom
**Role:** Solutions Architecture
**Experience:** 3+ years
**Skills:** Python, JavaScript, Systems Fundamentals, Llm Applications, LangChain, LangGraph, Llm Evaluation, Observability, Guardrails, AWS, GCP, Azure, Containers, Kubernetes
**Posted:** 2026-01-18

> Works directly with customer engineering teams to co-design, build, deploy, and operate production AI agents. The role combines hands-on software development, technical pre-sales, architecture advisory, and developer education, requiring at least three years of relevant technical experience and strong Python and JavaScript skills.

## Job Description

## Responsibilities
- 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, including 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.

## Requirements
- 3+ years in a relevant technical role, such as software engineering, customer engineering, solutions engineering, founding engineering, or product engineering; startup or scale-up experience is preferred.
- Strong Python, JavaScript, and systems fundamentals.
- Experience designing agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling.
- Comfortable working directly with customers during POCs, architecture reviews, and technical evaluations.
- Ability to explain technical tradeoffs clearly and build trust with developer audiences.
- Ownership of outcomes, not just recommendations.
- Bias toward action and ability to figure things out as needed.
- Interest in operating AI agents in production rather than only building demos.

## Nice to Have
- Experience deploying AI agents in production, especially with LangChain, LangGraph, or similar frameworks.
- Experience with LLM evaluation, observability, or guardrails.
- Experience with cloud environments, containers, and basic Kubernetes concepts.
- Experience shipping and operating production software under real-world constraints.

## Compensation and Benefits
- Competitive compensation including base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
- Locally competitive benefits for team members in the EU, UK, and APAC, aligned with regional norms and regulations.
- Medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan.
- Meals on in-office days in the US.

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**Apply:** https://hotfix.jobs/jobs/f702f024-a0f5-4ad8-bc76-cdef2f6befef
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