Senior Associate – AI ML Engineer

Overview

Senior Associate – AI/ML Engineer role focused on building and deploying machine learning and Generative AI applications across the product lifecycle.

What you'll do

• Build and maintain end-to-end AI/ML and Generative AI applications across data pipelines, prompt/model workflows, APIs, evaluation, deployment, and monitoring.
• Design Retrieval-Augmented Generation (RAG) solutions including ingestion, chunking, embeddings, vector search, reranking, citations, and access-aware retrieval.
• Develop agentic AI workflows with tools, structured outputs, state/memory, orchestration, guardrails, approvals, and failure recovery.
• Integrate foundation models and AI services, selecting options based on quality, latency, cost, privacy, and deployment constraints.
• Implement prompt engineering and structured output validation, including few-shot patterns and tool/function calling.
• Create reproducible evaluation pipelines and maintain regression/golden test datasets.

What you'll need

• 3–5 years of professional experience developing software, data, or ML solutions, including hands-on Generative AI/LLM applications.
• Strong Python skills and experience with pandas, NumPy, scikit-learn, PyTorch, and/or TensorFlow.
• Working knowledge of LLM application patterns such as prompting, embeddings, RAG, vector databases, tool/function calling, structured outputs, and agent workflows.
• Experience building and consuming REST APIs with JSON and schemas.
• Knowledge of software-engineering practices including modular design, testing, logging, error handling, and debugging.
• Hands-on Git/GitHub experience and CI/CD concepts.
• A current role-relevant AWS AI/ML certification or Microsoft Azure AI certification is mandatory.

Details

• Location: Pune, India.