Tech Stack
Responsibilities
- Design scalable, highly-available infrastructure and enterprise integration patterns for AI platform deployments using Terraform and Helm
- Design and implement multi-agent systems and agent logic using Python/TypeScript and LLM frameworks like LangChain and LangGraph
- Lead technical maturity assessments and work directly with enterprise customers to understand requirements and present recommendations
- Develop and design comprehensive evaluation frameworks for AI applications, including prompt optimization and A/B testing
Benefits
- 401k
- Equity
- Health Insurance
- Remote Work
Culture
Cross-Functional TeamsFlexible HoursFast-Paced
Requirements
Regions: Us
Get jobs like this in your inbox
Weekly AWS, Azure, GCP hiring trends and salary data — free.
Join 8 engineers getting weekly insights
Get job market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About langchain
Industry: saas
Size: small
LangChain builds the foundation for agent engineering, offering open-source tools and a platform for building, evaluating, deploying, and operating AI agents at scale.
View company profile →Compensation
Base salary: $170,000 USD
Equity: meaningful equity
Similar Jobs
Deployed Architect (San Francisco)
langchain · San Francisco, CA
$170k
Deployed Architect (NYC)
langchain · New York, NY
$170k
Deployed Architect (Austin)
langchain · Austin, TX
$170k
Forward Deployed Architect
Notion · New York, New York
$165k – $205k
Forward Deployed AI Engineer
Turing · New York, New York, United States; San Francisco, California, United States