Develop and maintain Python and .NET applications integrating LangChain and LangGraph for LLM workflows. Build RAG pipelines, use vector databases for embeddings and similarity search, write testable code, and collaborate on AI/ML solution design and code reviews.
- Develop and maintain applications using Python and .NET
- Build and integrate LangChain & LangGraph based workflows for LLM-powered applications
- Work with Vector Databases for embedding storage and similarity search
- Assist in developing retrieval-augmented generation (RAG) pipelines
- Write clean, testable, and well-structured code
- Collaborate with senior engineers on AI/ML solution design
- Participate in code reviews and contribute to engineering best practices
Requirements
- 1+ years of experience in software development
- Proficiency in Python (core language, data libraries — NumPy, Pandas)
- Working knowledge of .NET (C#, ASP.NET Core, Web API)
- Hands-on experience with LangChain and LangGraph for building LLM chains and agent workflows
- Understanding of Vector Databases — indexing, querying, and embedding management
- Familiarity with REST APIs, Git, and CI/CD basics
- Basic understanding of LLMs, prompt engineering, and embedding models
Nice to Have
- Exposure to cloud platforms (Azure, AWS, or GCP)
- Familiarity with Docker/containerization
- Understanding of RAG architecture patterns
- Basic knowledge of ML concepts (supervised/unsupervised learning)
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