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Tier-1 brand, Mumbai metro, and a generalist senior title raise applicant density despite LLM specialization.
Specialized LLM and RAG expertise requires ML-focused backgrounds, limiting cross-industry transferability.
Multiple mandatory skills (LLM/RAG, Python, SQL Server, AWS) create rigorous technical filtering.
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Design, develop, maintain, and enhance software solutions impacting risk assessment products and services.
Investigate and resolve complex technical issues while mentoring junior colleagues and contributing to knowledge-sharing.
Assist in project planning, effort estimation, and support interdisciplinary teams to improve products and customer outcomes.
Proficiency in Python and direct experience with AI tools such as LLM APIs (OpenAI, Bedrock, Azure OpenAI).
Experience with RAG pipelines, including chunking, embeddings, vector stores, schema-driven extraction (e.g., Pydantic), agentic orchestration patterns, and prompt engineering.
Strong expertise in Microsoft SQL Server including schema design, performance tuning, and stored procedures.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in modern software development methodologies like Agile and Scrum with problem-solving and mentoring responsibilities.
Comfortable working with cloud services, specifically AWS, and applying security engineering principles.
Familiarity with additional technologies such as OOPS concepts (.Net), JavaScript frameworks, and TypeScript/node.js considered advantageous.