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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro Hyderabad location, and mid-level role increase qualified applicant density.
Specialized LLM and agent skills are transferable, but regulated gaming experience increases domain preference.
Explicit 3–4 years plus mandatory LLM, agent frameworks, inference, and security skills tighten filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and evolve enterprise AI assistant and multi-agent platforms integrated with internal applications and workflows.
Develop and deploy AI solutions using LLM inference systems (LiteLLM, AWS Bedrock) focusing on scalability, cost-efficiency, and model performance trade-offs.
Implement AI safety guardrails, agent architectures (LangChain, LangGraph, ADK), and secure full-stack AI applications collaborating across global teams.
Minimum Requirements
Bachelor's degree in Computer Science, AI, or related STEM field.
3–4 years of hands-on AI/ML or software development experience.
Proficiency in Python including frameworks like FastAPI or Flask and async programming.
Experience with LLM inference platforms such as AWS Bedrock or LiteLLM, context engineering, and agentic AI frameworks like LangChain or ADK.
Ideal Candidate Profile
Experienced in designing production-grade AI systems with a strong understanding of tokenomics, guardrails, and responsible AI in regulated environments.
Skilled in full-stack AI application development including backend services and user interfaces, with security-first development practices.
Able to work cross-functionally with product, data science, and engineering teams in a hybrid work setup to deliver measurable business impact.