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Senior, specialized AI role in Bangalore at a mid-tier firm yields moderate competition.
AI engineering skills like RAG, embeddings, and production ML systems transfer well across industries.
Explicit 8+ years requirement plus specific AI and fullstack tech mandates tight shortlisting.
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Design and build production-grade AI systems to scale the agentic layer of the AI Native - Product Operations Platform.
Develop and maintain application stacks using FastAPI, NextJS, and Postgres with practical application of RAG architectures, embeddings, and vector retrieval.
Implement standards and guardrails to ensure platform scalability, reliability, and cohesive AI development, while collaborating with product and stakeholders to translate business needs into scalable technical solutions.
8+ years of industry experience with demonstrated AI tool integration and practical use in workflows.
Bachelor’s degree in Computer Science or related technical field, or equivalent practical experience.
Strong hands-on experience with FastAPI, NextJS, Postgres, and production deployment of agentic AI systems, including RAG architectures, embeddings, and vector retrieval.
Experience working in high-velocity delivery environments with regular feature releases; familiarity with prompt engineering, orchestration patterns, agent workflows, and evaluation frameworks.
Proven pragmatic builder comfortable working in ambiguous, fast-paced environments with high execution velocity.
Experienced in designing AI systems optimized for cost, throughput, scalability, and extensibility in production settings.
Capable of partnering effectively with cross-functional teams to convert business requirements into technical solutions, with a strong focus on simplicity and actionable plans.