We are looking for a Senior LLM Engineer with deep expertise in Large Language Model development, orchestration, and application engineering. The ideal candidate has 3–5 years of hands-on experience building and deploying AI systems using LangChain, LangGraph, and related frameworks. You will be responsible for designing, implementing, and optimizing complex, multi-agent LLM applications that drive real business value.
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Key Responsibilities:
- Design, build, and optimize LLM-based systems leveraging LangChain, LangGraph, and vector databases.
- Develop and maintain modular prompt pipelines, agents, and tools that enable dynamic reasoning and contextual understanding.
- Integrate LLMs with APIs, databases, and internal tools for seamless automation and data interaction.
- Fine-tune, evaluate, and deploy foundation models (e.g., OpenAI, Anthropic, Mistral, Llama) for domain-specific applications.
- Implement retrieval-augmented generation (RAG) and knowledge graph reasoning pipelines.
- Collaborate with cross-functional teams including product managers, data engineers, and researchers to bring LLM-driven products to life.
- Contribute to LLM system architecture design, ensuring scalability, maintainability, and performance.
- Stay current with emerging AI frameworks, model APIs, and orchestration patterns.
Key Requirements:
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- 3–5 years of experience developing with LangChain and LangGraph in production environments.
- Strong proficiency in Python/JavaScript and LLM APIs (OpenAI, Anthropic, Hugging Face, etc.).
- Experience with RAG pipelines, embeddings, and vector databases.
- Solid understanding of prompt engineering, LLM evaluation, and tool/agent design.
- Experience with Docker, Git, and modern cloud environments (e.g., Azure or AWS).
- Experience with multi-agent systems, function calling, and graph-based orchestration.
- Familiarity with LangSmith or LLMOps tools for observability and performance tracking.
- Knowledge of data pipelines, ETL systems, or microservice architectures.
- Prior work in AI product development, chatbot orchestration, or automation systems.
Language Requirements: None specified.
