Description

Design and deliver end-to-end Agentic AI and data engineering solutions, spanning architecture, system design, and production-grade Python development.

This role is on-site.

Responsibilities

• Engineer autonomous AI agents and multi-agent systems using LLMs and frameworks like LangChain and LlamaIndex, incorporating planning, tool usage, and memory.
• Build AI-powered capabilities using Google Gemini, Vertex AI, and Agent Development Kit, including vector databases, RAG pipelines, and semantic search.
• Develop scalable backend services in Python with resilient APIs, event-driven designs, and microservices architectures using FastAPI.
• Design and maintain robust data pipelines and models using SQL and NoSQL databases like MongoDB.
• Implement secure REST APIs and agent interfaces with authentication, authorization, and encryption, while optimizing agent performance and cost.

Required Skills

• 10+ years of software engineering experience with expert-level hands-on Python.
• Proven experience building Agentic AI solutions, including autonomous agents and multi-agent orchestration.
• Strong proficiency in LangChain, LlamaIndex, SQL, MongoDB, REST APIs, and FastAPI.
• Experience with Machine Learning concepts and LLM-based reasoning workflows.
• Ability to design resilient APIs and event-driven microservices architectures.
• Bachelor's degree or equivalent practical experience in computer science, engineering, or a related field.

Preferred Skills

• Experience with agent evaluation frameworks, prompt benchmarking, and AI system observability.
• Familiarity with GraphQL APIs, event streaming platforms, and advanced integration patterns.

Key Skills

Education

Any Graduate