Role & responsibilities

We are seeking a highly skilled Full Stack AI Engineer with expertise in Python, FastAPI, Agentic AI (ADK), and contemporary frontend development (React/Next.js). The ideal candidate will design and build scalable AI-driven applications, develop intelligent agent workflows, and create responsive user experiences for enterprise-grade GenAI solutions.

Must-Have Skills
Python and FastAPI development for scalable backend services
GCP
Experience managing frontend-backend integrations using TypeScript/JavaScript APIs
Agentic AI development including Agent Design, Orchestration (Google ADK), Runtimes, and Evaluation Frameworks
TypeScript/JavaScript expertise with React.js and/or Next.js
Building high-performance, responsive, and user-centric web applications
REST API design, authentication, and microservices architecture
Experience deploying AI applications on cloud platforms (GCP preferred)

Key Responsibilities




Develop and maintain backend services using Python and FastAPI.
Design, build, and orchestrate AI agents using ADK and related agent runtimes.
Implement agent evaluation, optimization, monitoring, and performance tuning.
Build responsive and scalable frontend applications using React/Next.js and TypeScript.
Integrate AI models, APIs, and agent workflows into business applications.
Collaborate with product, UX, and engineering teams to deliver end-to-end AI solutions.
Ensure application reliability, scalability, security, and performance.

Preferred Skills
Experience with LLMs, RAG, Prompt Engineering, Tool Calling, and Multi-Agent Systems
Knowledge of Vertex AI, Gemini Models, Cloud Run, and GCP services
Familiarity with vector databases, LangChain, MCP, and AI observability tools
CI/CD, Docker, Kubernetes, and contemporary DevOps practices

📌 Gcp + Gen Ai Bengaluru
🏢 Capgemini
📍 Bengaluru