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Niche LLM/agent skills reduce candidates, but Bangalore metro and broad employer brand keep competition medium.
Specialized LLM, agent, and MLOps expertise makes industry background highly important.
Multiple mandatory AI/LLM, agentic, MLOps, and production engineering requirements increase filter strictness.
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Design and develop production-grade AI-powered application features integrating Large Language Models (LLMs) and agentic workflows.
Build orchestration workflows including prompt engineering, context management, and implement AI Gateway features like authentication and policy enforcement.
Ensure scalability, security, monitoring, and operational support for AI applications through collaboration with platform engineering, MLOps, security, and compliance teams.
Strong experience integrating Large Language Models (LLMs) into enterprise applications.
Hands-on expertise with AI agents, orchestration frameworks, and RESTful API development for AI services.
Bachelor's or Master's degree in Computer Science, IT, Engineering, or related discipline.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in productionizing AI integrations with strong software engineering fundamentals including testing, debugging, secure coding, and CI/CD.
Familiarity with prompt engineering, AI safety controls, and AI evaluation methodologies to enable reliable and secure AI features.
Background in collaborating across MLOps, platform engineering, security, and compliance teams to deliver scalable and governed AI solutions in enterprise environments.