LLM Engineer

2 weeks ago

Delhi, Delhi, India Prodigy Placement LLP Full time ₹ 10,00,000 - ₹ 12,00,000 per year

Job Title: LLM Engineer No. of Positions: 3

Location: Bangalore; Pune; Delhi (Hybrid – 3 days Office)

Employment Type: Contract

Salary Range -10-12LPA

About the Role We are looking for a highly skilled LLM Engineer to design, develop, and optimize Large Language Model (LLM)-powered applications. This role requires deep expertise in LLM APIs, AI tool integrations, and vector database technologies. You will work with cutting-edge frameworks such as Lang Graph and DSPy, build tool-using AI systems, and leverage modern orchestration techniques to deliver intelligent, scalable, and high performance solutions. Key Responsibilities  Design and develop LLM-powered applications integrating APIs such as Open AI, Claude, Gemini, etc.  Build AI workflows using Lang Graph, DSPy, and tool-use frameworks.  Implement MCP server integrations to extend LLM capabilities.  Work with vector databases such as Qdrant, Milvus, or Pgvector for semantic search and retrieval.  Optimize prompt engineering, model orchestration, and tool chaining for performance and accuracy.  Collaborate with cross-functional teams to translate requirements into AI-enabled solutions.  Ensure solutions adhere to best practices in security, scalability, and maintainability.  Use Azure DevOps for code management, CI/CD pipelines, and deployment.  Participate in Agile ceremonies, sprint planning, and delivery reviews. Required Skills & Qualifications  Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, or related field.  4+ years of experience in software development, with 2+ years in LLM/AI application development.  Strong hands-on experience with LLM APIs (Open AI, Claude, Gemini, etc.).  Experience with Lang Graph, DSPy, and tool-use patterns in AI systems.  Knowledge of MCP server integration and usage.  Expertise in vector databases (Qdrant, Milvus, Pgvector).  Familiarity with Azure DevOps and Agile delivery methodologies. Good to Have  Experience with RAG (Retrieval-Augmented Generation) pipelines.  Knowledge of MLOps practices and AI model deployment.  Familiarity with multi-cloud environments (Azure, AWS, GCP).  Exposure to containerization (Docker, Kubernetes). Why Join Us?  Work on cutting-edge AI and LLM engineering projects.  Collaborate with top-tier AI engineers in a hybrid, innovation-driven environment.  Build solutions that leverage the latest in tool-use AI, vector search, and orchestration frameworks.

Job Type: Contractual / Temporary

Contract length: 6 months

Pay: ₹1,000, ₹1,200,000.00 per year

Work Location: In person

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