Description

Key Skills: Python, LangChain, LangGraph, OpenAI, Google Gemini, Anthropic, FastAPI, Vertex AI, Docker, Kubernetes

Good to Have Skills: Experience with Java development in enterprise contexts and knowledge of modern frontend frameworks like React, Angular, Vue.js. Familiarity with AI coding tools like Copilot and Devin would be beneficial.

Roles & Responsibilities:

• Design, develop, and deploy large-scale agentic AI solutions using frameworks like Google ADK, LangChain, and LangGraph.
• 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.
• Build and maintain robust data pipelines for SQL and NoSQL databases and secure REST APIs.
• 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.

Experience Required: 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.

Education: Bachelor's degree in Computer Science, Engineering, or equivalent experience

Key Skills

Education

Any Graduate