# Solutions Engineer

**Company:** [LangChain](https://hotfix.jobs/companies/langchain)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $200k – $250k/yr
**Experience:** 6+ years
**Skills:** LangChain, LangGraph, AI Agents, llm evaluation, Observability, guardrails, AWS, GCP, microsoft azure, Containers, Kubernetes, Python, proofs of concept
**Posted:** 2026-08-13

> Delivers customer-facing AI agent solutions from technical discovery and proofs of concept through production rollout. The role requires 6+ years in a relevant technical discipline, strong architecture and developer communication skills, and experience with production AI, cloud, or related platforms.

## Job Description

## Responsibilities
- Partner with account executives to scope evaluations, conduct technical discovery, and design customer-specific proofs of concept.
- Serve as the technical authority during architecture reviews, security and infrastructure discussions, and competitive evaluations.
- Co-architect and co-build production AI agents with customer engineering teams from prototype through rollout.
- Help customers deploy and operate conversational agents, research agents, and multi-step workflows.
- Run demos, trainings, and workshops for developer audiences.
- Advise customers post-sale on architecture, best practices, and roadmap decisions, and identify expansion opportunities.
- Surface field feedback to product teams and build reusable proofs-of-concept assets, cookbooks, and example code.
- Contribute code upstream when it improves customer outcomes.

## Requirements
- **6+ years** in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding/product engineering.
- Experience owning the technical thread in a sales cycle, including discovery, proofs of concept, architecture reviews, and competitive evaluations.
- Ability to explain technical tradeoffs clearly, build trust with developer audiences, and translate technical work into customer decisions.
- Track record of taking responsibility for outcomes rather than only making recommendations.
- Bias toward action and willingness to solve unfamiliar problems.
- Genuine interest in operating AI agents in production rather than only building demos.

## Nice to Haves
- Production deployment of AI agents, especially with LangChain, LangGraph, or similar frameworks.
- Experience carrying a technical number or working alongside a sales team against pipeline goals.
- Experience with LLM evaluation, observability, or guardrails.
- Experience with cloud environments, containers, and basic Kubernetes concepts.

## Compensation and Benefits
- Annual on-target earnings range: **$200,000–$250,000 USD**.
- Compensation may include base salary, variable compensation, equity, benefits, and perks; actual offerings vary by role, level, and location.
- Medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan.
- Meals on US in-office days.

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