LLM Engineer

• 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).