Senior Full Stack GenAI / Agentic Engineer

Job Location: Bangalore
Work Mode: Hybrid 4 Days Office + 1 Day Work From Home
Experience: 5+ Years
Employment Type: Full-Time
Industry: IT / Technology

Job Description

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.
• Strong 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.