Deployed Engineer (Early Career- SF)
$160k - $185k • San Francisco, CA • FullTime
Posted 21d ago
Job Location
San Francisco, CA
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
This role focuses on working directly with customers to build and deploy production AI agents, tackling complex problems in applied AI. You will help customers adopt innovative agentic engineering practices and ensure they ship reliable agents into production quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. This is a hands-on, highly technical role that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work, focusing on achieving technical wins and co-designing agent architectures.
Responsibilities
- Co-architect and co-build production AI agents with customer engineering teams and customers.
- 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.
- Build and run tailored demos, trainings, and workshops for developer audiences.
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers.
- Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities.
- Occasionally contribute code upstream when it meaningfully improves customer outcomes.
Requirements
- 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company.
- Strong Python, JavaScript and systems fundamentals.
- Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling.
- Strong technical communication skills and builder credibility; can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams.
- Excited to work directly with customers during POCs, architecture reviews, and technical evaluations.
- Take responsibility for outcomes, not just recommendations.
- Have a bias toward action and enjoy figuring things out as you go.
- Are excited about shipping AI agents in production.
- Experience deploying AI agents in production, especially using LangChain, LangGraph, or similar frameworks (nice to have).
- Experience with LLM evaluation, observability, or guardrails (nice to have).
- Experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts (nice to have).
- Experience shipping and operating production software and are comfortable owning systems under real-world constraints (nice to have).
Benefits
- Medical, dental, and vision coverage
- Flexible vacation
- 401(k) plan
- Meals on in-office days in the US
- Competitive compensation including base salary, variable compensation, and meaningful equity