We are looking for an experienced AI / Agentic AI Engineer to design, develop, and implement enterprise-grade AI chatbot and self-service solutions.

The ideal candidate will have solid hands-on experience in Agentic AI, RAG architecture, Python, LangChain/LangGraph, LLM integration, AWS, and backend/API development.

The role will contribute to AI-driven customer engagement and intelligent automation initiatives supporting a large-scale BFSI/trading platform.

Key Responsibilities

- Design and develop AI-powered chatbot and conversational AI solutions for customer self-service.
- Build Agentic AI solutions capable of handling enterprise customer workflows.
- Design and implement Retrieval-Augmented Generation (RAG) architectures for knowledge-based conversational assistance.
- Develop chatbot capabilities supporting:
- Account and portfolio maintenance
- Personal and client information updates
- Product benefits and support queries
- Training and CPA-related concepts
- Knowledge-based customer assistance

- Integrate existing LLMs and AI frameworks into enterprise applications.
- Develop AI orchestration workflows using LangChain, LangGraph, or similar frameworks.
- Build backend services and APIs using Python and FastAPI.
- Integrate AI applications with AWS Lambda and other cloud services.




- Contribute independently across solution design, architecture, development, integration, and implementation.
- Develop scalable APIs and microservices supporting AI applications.
- Collaborate with product, engineering, and business teams to deliver production-ready AI solutions.
- Troubleshoot AI application issues and continuously enhance performance, reliability, and customer experience.

Mandatory Skills & Experience

- 8+ years of overall software engineering / application development experience.
- Strong hands-on experience in Agentic AI platform development.
- Practical implementation experience with RAG architecture.
- Strong programming experience in Python.
- Hands-on experience with LangChain and/or LangGraph.
- Experience integrating LLMs into enterprise applications.
- Hands-on development experience in AI-powered chatbot or conversational AI solutions.
- Strong understanding of AI orchestration frameworks.
- Experience in backend/API development.
- Knowledge of FastAPI and microservices architecture.
- Experience working with AWS, particularly serverless/backend environments such as AWS Lambda.
- Ability to independently contribute to architecture, development, and implementation activities.

📌 Senior AI / Agentic AI Engineer (Bengaluru)
🏢 Allegis Group
📍 Bengaluru