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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop advanced autonomous AI agents using LLMs and multi-agent architectures capable of reasoning, planning, and executing tasks.
Build and integrate RAG-based applications with enterprise data, APIs, cloud services, and business applications.
Ensure AI solutions are optimized for latency, scalability, reliability, cost, while implementing monitoring, security, and governance.
Minimum Requirements
7–10 years of relevant experience in Generative AI, Agentic AI, or related fields.
Strong hands-on Python programming skills and experience with LLM platforms like OpenAI, Azure OpenAI, Anthropic, or Gemini.
Experience with agent frameworks such as LangChain, LangGraph and concepts like prompt engineering, embeddings, vector search, and function/tool calling.
Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data Science, or related domain.
Ideal Candidate Profile
Experienced in designing multi-agent systems and managing agent orchestration in enterprise environments.
Proficient in integrating AI solutions with cloud platforms (AWS/Azure/GCP), REST APIs, databases, and enterprise applications.
Capable of leading architecture decisions and mentoring junior engineers, with production deployment experience using Docker, Kubernetes, and CI/CD.