Senior AI Engineer

Key Responsibilities

• Design and implement end-to-end AI/ML solutions from data prep to production deployment.
• Build RAG pipelines with robust retrieval, re-ranking, grounding, and evaluation.
• Develop AI applications such as conversational agents and document intelligence workflows (extraction, classification, validation).
• Implement image/document processing (OCR, layout analysis, table extraction, redaction).
• Integrate with enterprise systems and APIs; enable tool use/function calling where applicable.
• Optimize for latency, accuracy, cost, and safety.
• Package and deploy with Docker/Kubernetes/Serverless; automate with CI/CD.
• Write clean, testable code; contribute to internal accelerators, templates, and best practices.

Required Skills & Experience

• 7+ years of hands-on experience delivering AI/ML software to production.
• Strong in Python and one of PyTorch / TensorFlow.
• Solid understanding of LLMs, prompting, function calling/tools, evaluation, and vector search.
• Experience with RAG (indexing, chunking, embeddings, retrieval, re-rankers, grounding).
• Practical exposure to Document AI and Conversational AI in real-world workflows.
• Cloud experience on Azure, AWS, or GCP.
• Experience in insurance (FNOL, claims adjudication, underwriting, billing, policy servicing, agent portals, etc.) will be preferred