Description

You will design and develop LLM-powered applications, integrating APIs and building AI workflows for scalable solutions.

This role is hybrid.

Responsibilities

• Build AI workflows using Lang Graph, DSPy, and tool-use frameworks.
• Implement MCP server integrations to extend LLM capabilities.
• Utilize vector databases (Qdrant, Milvus, Pgvector) for semantic search.
• Optimize prompt engineering, model orchestration, and tool chaining.
• Ensure security and scalability within Azure DevOps pipelines.

Required Skills

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
• 4+ years in software development, including 2+ years in LLM/AI application development.
• Hands-on experience with LLM APIs (Open AI, Claude, Gemini).
• Experience with Lang Graph, DSPy, and AI tool-use patterns.
• Expertise using vector databases (Qdrant, Milvus, Pgvector).
• Familiarity with Azure DevOps and Agile delivery methodologies.
• Strong background in Software Development.

Key Skills

Education

Bachelor's or Master's degrees