Overview
Senior AI Engineer responsible for designing, deploying, and operating secure, production-grade Agentic AI capabilities, with additional focus on knowledge graph and Graph RAG solutions.
What you'll do
- Design and integrate AI agents with enterprise APIs, applications, tools, data sources, and workflows.
- Build reusable single-agent and multi-agent workflows using agent frameworks.
- Establish agent evaluation, observability, regression testing, and production monitoring.
- Implement human-in-the-loop approvals, guardrails, and responsible execution controls.
- Deploy agent services using containers, serverless patterns, infrastructure as code, and CI/CD.
- Apply responsible AI, privacy, access control, auditability, and governance requirements.
- Build Python APIs and RAG or Graph RAG components with grounding, citations, and testing.
What you'll need
- 7–12 years of overall technology experience.
- 3+ years of experience with enterprise data, semantic, graph, search, knowledge, or AI solutions.
- Experience with agent frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
- Experience with agent orchestration, tool calling, memory, planning, routing, and state management.
- Experience with AWS Bedrock Agents, Guardrails, foundation models, or equivalent services.
- Knowledge of responsible AI, data privacy, access controls, auditability, model risk, and AI governance.
- Bachelor's degree in computer science, engineering, AI, data science, information systems, or a related discipline.
Nice to have
- Experience designing ontologies, semantic models, taxonomies, and relationship definitions.
- Experience with enterprise graph platforms such as Neo4j, Amazon Neptune, or GraphDB.
- Experience building RAG or Graph RAG solutions and graph ingestion pipelines.
- Strong Python skills for REST APIs, microservices, testing, and production code.
- Knowledge of RDF, RDFS, OWL, SHACL, Cypher, or SPARQL.
Details
- Location: Hyderabad, India.
- Role title: Senior Engineer - Agentic AI, Assistant Manager.
Read the full description and apply on the company’s own careers page.