Job Location: Bangalore

Work Mode: Hybrid 4 Days Office + 1 Day Work From Home

Experience: 5+ Years

Employment Type: Full-Time

Industry: IT / Technology

We are looking for a Senior Full Stack GenAI / Agentic Engineer with strong experience in building and deploying production-grade AI applications.

The candidate will work across backend, frontend, Generative AI, Agentic AI, databases, and cloud technologies to build intelligent enterprise applications.

Key Responsibilities

- Develop scalable AI-powered applications using Python, FastAPI and REST APIs.
- Design and implement LLM-based applications, RAG pipelines, embeddings, vector search and prompt engineering.
- Build Agentic AI solutions involving tool invocation, task planning, memory, workflow orchestration and multi-agent collaboration.
- Develop intelligent agents using Google Agent Development Kit (ADK).
- Integrate external tools, APIs, enterprise data sources and cloud services with AI agents.
- Build modern web applications using React, Redux and TypeScript.
- Develop AI-powered user interfaces, conversational applications and real-time dashboards.
- Implement Server-Sent Events (SSE) and streaming AI responses for low-latency user experiences.
- Develop and optimize PostgreSQL databases supporting enterprise and AI workloads.
- Work with GCP services including Vertex AI, Cloud Run, Cloud Storage,



Cloud SQL and IAM.
- Build containerized applications using Docker and support CI/CD pipelines.
- Collaborate with engineering, product and AI teams in an Agile environment.

Mandatory Skills
- 5+ years of software development experience.
- Strong hands-on Python development.
- Strong experience with FastAPI and REST APIs.
- Hands-on experience with Generative AI / LLM / RAG / Prompt Engineering.
- Solid understanding of Agentic AI concepts.
- Google Agent Development Kit (ADK) – Mandatory.
- Experience with GCP / Vertex AI / Cloud Run.
- Strong PostgreSQL experience.
- Strong frontend experience with React, Redux and TypeScript.
- Hands-on experience implementing SSE / AI response streaming.
- Experience with Docker, Git and CI/CD.

Good to Have
- pgvector / Vector Databases
- Multi-agent architectures
- LLM orchestration frameworks
- Cloud-native AI deployments
- Asynchronous Python programming
- Real-time applications
- Enterprise API integrations

Candidate Profile The ideal candidate should be a strong hands-on engineer who can work across AI + Backend + Frontend + Cloud and has experience taking AI applications from development to production. Interested candidates can share their updated CV highlighting GenAI, Agentic AI, Google ADK and GCP experience.

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