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

3–8 years of experience in Python-based full-stack / backend development (FastAPI, Flask, Django). (3-5 Engineers & 5-8 Sr Engineers)

Solid understanding of AI / ML fundamentals , especially in prompt engineering , LLM APIs , vector databases (Chroma / FAISS / OpenSearch) , and Graph Databases (Neo4j) .

Experience implementing microservices , REST APIs , and async I / O architectures.

Proficiency in CI / CD , containerization (Docker / Podman) , and cloud deployments (Azure / AWS) .

Experience with test frameworks (PyTest, Robot, Playwright, Selenium).

Exposure to RAG architectures , embedding models , and LangChain / LangGraph frameworks preferred.

Knowledge of data security , API governance , and model observability is an advantage.

Behavioral Attributes

Passionate about AI-driven innovation in QE.

Strong analytical and problem-solving mindset.

Self-driven, adaptable to emerging tools and technologies.

Comfortable working in an agile, cross-functional environment.

Education :

B.Tech / M.Tech / MCA or equivalent degree in Computer Science or related field.

Certifications in AI / ML , Cloud (Azure / AWS) , or Testing Tools preferred.

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