Lead Engineer (Langchain)

Summary

Epsilon ASI is seeking a LangChain Engineer to join its AI engineering team. The role focuses on designing, developing, deploying, and optimizing production-grade LLM applications, agentic workflows, backend services, and APIs while collaborating with technical stakeholders and clients.

Responsibilities

• Design and develop production-grade AI/LLM applications using LangChain and related frameworks
• Build and integrate LLM-powered workflows, agents, and applications
• Develop scalable backend services and APIs using Python
• Integrate LLMs with external data sources, APIs, tools, and enterprise systems
• Develop solutions involving prompt engineering, retrieval-augmented generation (RAG), tool calling, and AI agents
• Deploy and maintain AI applications within a major cloud environment
• Collaborate with engineers, product stakeholders, and clients to translate business requirements into technical solutions
• Evaluate emerging AI/LLM technologies and identify opportunities to improve existing solutions
• Write clean, maintainable, well-tested code suitable for production environments
• Troubleshoot, optimize, and improve the performance, reliability, and scalability of AI applications

Skills

• • Mid-to-senior level software engineering experience
• • Strong proficiency in Python
• • Hands-on experience with LangChain or comparable LLM/AI application frameworks
• • Experience working with at least one major cloud platform: + AWS + Google Cloud Platform (GCP) + Microsoft Azure
• • Strong understanding of software engineering fundamentals, APIs, and application development
• • Experience building or integrating LLM-powered applications
• • Ability to work independently in a remote environment while collaborating effectively with a distributed team
• A Bachelor's degree is not required if the candidate has strong relevant experience
• This role is not intended for candidates coming directly from an undergraduate program without professional or substantial project experience
• • Experience with LangGraph
• • Experience building AI agents or agentic workflows
• • Experience with RAG, vector databases, embeddings, and semantic search
• • Familiarity with OpenAI, Anthropic, Gemini, or other foundation models
• • Experience with Docker and/or Kubernetes
• • Experience with CI/CD and production cloud deployments
• • TypeScript experience
• • Experience working in a consulting or client-facing environment
• Master's or PhD graduates with relevant hands-on experience in AI, machine learning, computer science, or a related field are encouraged to apply

Qualifications

Must Haves

• • Mid-to-senior level software engineering experience
• • Strong proficiency in Python
• • Hands-on experience with LangChain or comparable LLM/AI application frameworks
• • Experience working with at least one major cloud platform: + AWS + Google Cloud Platform (GCP) + Microsoft Azure
• • Strong understanding of software engineering fundamentals, APIs, and application development
• • Experience building or integrating LLM-powered applications
• • Ability to work independently in a remote environment while collaborating effectively with a distributed team
• A Bachelor's degree is not required if the candidate has strong relevant experience
• This role is not intended for candidates coming directly from an undergraduate program without professional or substantial project experience

Nice to Haves

• • Experience with LangGraph
• • Experience building AI agents or agentic workflows
• • Experience with RAG, vector databases, embeddings, and semantic search
• • Familiarity with OpenAI, Anthropic, Gemini, or other foundation models
• • Experience with Docker and/or Kubernetes
• • Experience with CI/CD and production cloud deployments
• • TypeScript experience
• • Experience working in a consulting or client-facing environment
• Master's or PhD graduates with relevant hands-on experience in AI, machine learning, computer science, or a related field are encouraged to apply

Benefits

• Remote work arrangement