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Reputable global pharma brand and metro hiring for a niche senior AI role yields moderate competition.
Highly specialized LLMOps and agent-design requirements limit cross-industry transferability.
Explicit 9+ years requirement plus mandatory LLM production experience and specific tech stack enforces high shortlisting strictness.
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Design, build, and deploy autonomous multi-agent AI workflows with complex orchestration, state management, and error recovery.
Develop production-grade async FastAPI applications integrating multiple enterprise technologies and cloud LLM providers.
Implement observability, security, compliance, and evaluation frameworks to optimize AI agent performance and cost across production workflows.
Bachelor's or Master's in Computer Science, AI/ML, Engineering, Data Science, or related field.
9+ years of software engineering experience; 2+ years specifically building and deploying production LLM-powered applications.
Proven expertise with agent orchestration frameworks (preferably LangGraph), cloud LLM providers (AWS Bedrock, Azure OpenAI, Anthropic Claude, OpenAI GPT-4), async Python programming, FastAPI, and cloud platforms (AWS, Azure, or Google Cloud).
Work Experience Required: 9+ years; Notice period: Not explicitly mentioned in the JD.
Experienced in building autonomous multi-step AI agent systems with advanced orchestration and tool-calling capabilities beyond simple chatbots.
Strong background in async Python development, LLMOps practices, including prompt engineering, observability tooling, and hybrid intelligence design patterns.
Capable of leading globally distributed teams, collaborating cross-functionally with data engineers, business analysts, and UX, especially with familiarity in life sciences or global business functions as a plus.