AI ML Developer

Key Responsibilities

• Design and develop backend microservices using FastAPI / Uvicorn , following SOLID principles and modular design.
• Implement and optimize AI workflows including RAG / Graph RAG pipelines , Neo4j knowledge graphs , and LLM-based agents for test generation and analysis.
• Integrate multi-model orchestration (OpenAI, Anthropic, Azure AI, Gemini, Claude) with dynamic model selection and token efficiency.
• Enhance context management modules supporting multiple data sources (Confluence, SharePoint, Excel, PDFs, Images, and APIs).
• Develop and maintain test generation, regeneration, and automation script creation pipelines.
• Implement observability and telemetry for model performance, API throughput, and agentic decision tracking.
• Collaborate with product architects and data scientists to improve model determinism, reduce hallucination, and ensure explainable outputs.
• Contribute to DevOps pipelines (Azure DevOps / AWS Code Pipeline) for build, test, and deploy automation.

Key Skills & Experience

Behavioral Attributes

Education :

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