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Job Description
Structured overview of role & requirementsAbout This Role
Lead development of GenAI and Agentic AI systems for conversational AI and workflow automation in business domains.
Design and develop full-stack multi-Agentic AI systems integrating LLMs, Agentic AI frameworks, and backend systems via APIs and protocols like MCP or A2A.
Implement safety guardrails, optimize LLM model performance with context engineering, and collaborate cross-functionally while communicating with technical and non-technical stakeholders including senior leadership.
Minimum Requirements
Bachelor’s degree or higher in computer science, engineering, mathematics, or related field.
Experience developing scalable software applications on cloud platforms (AWS, Azure, or GCP).
Fluent in Python, Java, or GoLang and proficient with Agentic AI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK; familiarity with MCP and A2A protocols.
Work Experience Required: Not explicitly mentioned in the JD; Role location: Bangalore.
Ideal Candidate Profile
Demonstrated expertise in deploying Agentic AI solutions using cloud-native services like AWS Bedrock, Azure AI Foundry, or GCP Vertex AI.
Strong skills in AI implementation including prompt engineering for LLM agents, API development, and legacy code transformation within enterprise environments.
Ability to independently lead system design and deliver complex AI platform solutions with clear communication to diverse stakeholders including senior leadership.