Senior Full Stack GenAI / Agentic Engineer

Kairos Technologies; Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Kairos Technologies in Bengaluru is seeking a Senior Full Stack GenAI / Agentic Engineer to build production-grade AI apps across backend, frontend, AI, and cloud.

You will work on Python, FastAPI, LLMs, agentic AI, React, TypeScript, and cloud services; must have ADK expertise and CI/CD exposure. Hybrid work with 4 days office, 1 day work-from-home.

Qualifications

• 5+ years of software development experience.
• Proficient in Python development and FastAPI with REST APIs.
• Hands-on Generative AI/LLM/RAG and Prompt Engineering experience.
• Strong knowledge of Agentic AI concepts and Google ADK.

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 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 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.

Skills

Python

FastAPI

REST APIs

Generative AI

LLM

RAG

Prompt Engineering

Agentic AI

Google ADK

GCP Vertex AI

PostgreSQL

React

Redux

TypeScript

Docker

Git

CI/CD

SSE

Tools

Docker

Git

CI/CD pipelines

Job description

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.