Lead Engineer, Langchain

🔥 12 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 15%

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Epsilon ASI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🤖 Artificial Intelligence

💼 Consulting

🤝 B2B

Artificial Intelligence • Consulting • B2B

Epsilon ASI is an AI engineering and adoption consultancy that helps organizations adopt AI safely, securely, and efficiently. They work across the AI adoption lifecycle — from discovery and identifying high-value workflows to designing, building, and operating production AI systems. Services highlighted include AI strategy, AI applications, agent workflows, LLMOps, security & governance, AI infrastructure, cost-efficiency, enablement and upskilling, and embedded engineering partnerships. Their offerings include AI readiness reviews, production AI sprints, and long-term embedded partnerships to help teams measure business value, ensure safety and observability, and control costs as AI scales.

📋 Description

• 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

🎯 Requirements

• Mid-to-senior level software engineering experience • Strong proficiency in Python • Hands-on experience with LangChain or comparable LLM/AI application frameworks • Experience with at least one major cloud platform: AWS, Google Cloud Platform (GCP), or 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 • Master's or PhD graduates with relevant hands-on experience in AI, machine learning, computer science, or a related field are encouraged to apply • Not intended for candidates coming directly from an undergraduate program without professional or substantial project experience • Nice to have: Experience with LangGraph • Nice to have: Experience building AI agents or agentic workflows • Nice to have: Experience with RAG, vector databases, embeddings, and semantic search • Nice to have: Familiarity with OpenAI, Anthropic, Gemini, or other foundation models • Nice to have: Experience with Docker and/or Kubernetes • Nice to have: Experience with CI/CD and production cloud deployments • Nice to have: TypeScript experience • Nice to have: Experience working in a consulting or client-facing environment

🏖️ Benefits

• Contract-to-hire arrangement • Remote work

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