3–4 yrsHyderabadHybridDirect career pageEst. 18–30 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About 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.