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Protocol Intelligence
Data-driven signals on your job's competitivenessNiche LLM specialization plus metro Hyderabad and known global pharma brand creates medium competition.
Highly specialized LLM, agent orchestration, and async Python skills limit cross-industry transferability.
Multiple mandatory years, specialized LLM and async Python skills, and enterprise compliance requirements make filters high.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and deploy autonomous multi-agent AI workflows integrating large language models and enterprise services at scale.
Develop and maintain production-grade applications using async Python (FastAPI), supporting real-time streaming and robust API orchestration.
Ensure secure, compliant, and observable AI solutions with telemetry, cost optimization, and adherence to Responsible AI standards, collaborating closely with cross-functional teams.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or related field.
9+ years software engineering experience; 2+ years specifically in production LLM-powered application development.
Proven expertise in agentic orchestration frameworks (e.g., LangGraph, LangChain), async Python (FastAPI), cloud LLM providers (AWS Bedrock, Azure OpenAI, Anthropic, OpenAI GPT-4).
Experience with containerization (Docker), CI/CD, cloud platforms (AWS, Azure, or GCP), and enterprise security integration.
Ideal Candidate Profile
Deep experience designing complex multi-agent AI systems with stateful workflows, conditional logic, and tool-calling mechanisms.
Strong background in async Python programming and architecting scalable, observable AI services for regulated enterprise environments.
Prior involvement collaborating with globally distributed teams and in highly regulated domains, preferably life sciences or GPS functional areas.