Description

You will design, develop, and deploy large-scale agentic AI solutions using Python, LangChain, and LangGraph.

This role is on-site.

Responsibilities

• Architect and implement multi-agent systems, integrating LLMs and AI-powered capabilities including Vertex AI, Google A2UI, RAG pipelines, and vector databases.
• Engineer autonomous agents with planning, tool usage, memory management, and multi-step reasoning capabilities.
• Develop scalable Python backend services using FastAPI and asyncio with resilient APIs and microservices architecture.
• Drive CI/CD practices, automated testing, MLOps, and containerization using Docker and Kubernetes on cloud platforms.
• Provide technical guidance, ensure adherence to best practices, and mentor junior engineers in the team.

Required Skills

• 5+ years in AI/ML development, applications development, or systems analysis, with substantial focus on Python.
• Minimum 2+ years specifically in AI, prompt engineering, ML, or agentic AI systems.
• Proven experience as a lead developer for agentic flow design with Google ADK.
• Proficiency with LangChain, LangGraph, OpenAI, Google Gemini, and Anthropic APIs.
• Experience building data pipelines for SQL and NoSQL databases and secure REST APIs.
• Strong understanding of Docker and Kubernetes for containerization and orchestration.
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.

Preferred Skills

• Experience with Java development in enterprise contexts.
• Knowledge of modern frontend frameworks like React, Angular, or Vue.js.
• Familiarity with AI coding tools like Copilot and Devin.

Key Skills

Education

Any Graduate