We are looking for an energetic, smart, and passionate AI professional who is excited about building the next generation of enterprise conversational AI. If you enjoy solving complex problems, working with cutting-edge AI technologies, and building production-grade agent systems, wed love to hear from you.

Role Description

InteliSense is an enterprise AI contact center platform (voice + chat) spanning two independent deployment stacks an Azure/LangGraph stack and an AWS stack (Amazon Connect + Bedrock AgentCore).

Responsibilities

- Own Agent design and Orchestration
- Build current self-service and specialized agent
- Wire up Tool/MCP Integrations
- Design and Build HITL flows for Production Voice / Chat

Must-Have Technical Skills

- Strong hands-on experience with LangGraph or comparable agent orchestration frameworks.
- Strong hands-on experience with Azure AI Search (or equivalent Elasticsearch/OpenSearch/Pinecone/Weaviate) including hybrid search and reranking.
- Experience with embedding models, chunking strategies, and index design for RAG at production scale.
- Experience with LLM API Integration.
- Solid Python and FastAPI experience.
- Experience designing multi-agent systems— supervisor/specialist patterns, tool-calling agents, agent-to-agent handoff
- Familiarity with MCP , building or consuming MCP servers as agent tools




- Experience with Redis for session/state persistence
- Understanding of HITL design patterns for production conversational AI (escalation, confirmation gates, failure routing)
- Understanding of multi-tenant SaaS architecture.
- Comfortable working with REST/Graph APIs as agent tools

Nice-to-have Skills

- Experience with Amazon connect and Bedrock AgentCore.
- Experience with Azure OpenAI or other LLM APIs in a production Agent context.
- Familiarity with LangSmith or other LLM Observability/eval tooling.
- Experience with Voice channel agent design.
- Background in contact center /ITSM domains.
- Exposure to Prompt Engineering for structured agent behavior.
- Experienced in MangoDB for document/session storage.
- Exposure to Azure Functions or serverless ingestion pipelines.
- Experienced with Voice AI Pipelines.
- Experienced in Information Retrieval or NLP Search.

How to Apply

If you are excited about building production-grade AI agents and believe your experience matches the role, we would love to hear from you.

Please share your updated resume along with your current location, total experience, relevant AI/Agent experience, current CTC, expected CTC, and notice period.

Apply now and be part of the team building the future of enterprise AI contact centers!

📌 AI Engineer (Chennai)
🏢 Sensiple
📍 Chennai