Staff Full Stack AI Engineer

Runmap Infotech Private Ltd.; Bengaluru; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

Runmap Infotech Private Ltd. seeks a Staff Full Stack AI Engineer to design and scale reusable AI components, enterprise applications, and AI agent-based solutions.

The role requires strong expertise in React, TypeScript, Angular, Python, Java and Generative AI, with experience migrating legacy apps using AI workflows and agent development. Responsibilities include building scalable full stack apps, RAG pipelines, AI agents, and AI Gateways; leading architecture decisions, and ensuring secure

Qualifications

• 8+ years of full stack development experience.
• 2–3+ years hands-on AI/LLM experience.
• Experience with React, TypeScript, Angular, Python, Java and Generative AI.
• Experience migrating legacy applications using AI workflows and agent development.
• Design scalable full stack applications, REST APIs, and microservices.
• Build production-ready RAG pipelines, AI agents, multi-agent workflows, and AI Gateway integrations.
• Develop reusable AI components and shared libraries across teams.
• Experience leading architecture decisions, technical delivery, sprint planning, and stakeholder discussions.
• Drive legacy application migration using AI-assisted development and agentic workflows.
• Implement secure authentication, API security, credentials management, and AI governance.
• Build CI/CD pipelines and containerized deployments; monitor AI quality, hallucinations, performance, and cost.

Responsibilities

• Design and develop scalable full stack applications, REST APIs, and microservices.
• Build production-ready RAG pipelines, AI agents, multi-agent workflows, and AI Gateway integrations.
• Develop reusable AI components and shared libraries adopted across multiple teams.
• Lead architecture decisions, technical delivery, sprint planning, and stakeholder discussions.
• Drive legacy application migration using AI-assisted development and agentic workflows.
• Implement secure authentication, API security, credentials management, and AI governance.
• Build CI/CD pipelines and containerized deployments; monitor AI quality, hallucinations, performance, and cost.

Skills

React.js

TypeScript

Angular

Azure OpenAI

OpenAI APIs

RAG pipelines

Vector databases

LangChain

LangGraph

AI Agents

Prompt engineering

Function calling

Semantic search

AI Gateway

OAuth2

OpenID Connect

API security

Secrets management

AI governance

Docker/Podman

CI/CD

Linux administration

Architecture ownership

Reusable components

Technical leadership

End-to-end delivery

Tools

React.js

TypeScript

Angular

Python

Java

Azure OpenAI

OpenAI APIs

LangChain

LangGraph

MCP

Job description

Experience: 8+ Years Full Stack Development | 2–3+ Years Hands-on AI/LLM Experience

Employment Type: Full-Time

Immediate/Early Joiners Preferred

Job Summary

We are looking for a Staff Full Stack AI Engineer to design and scale reusable AI components, enterprise applications, and AI agent-based solutions. The role requires strong expertise in React, TypeScript, Angular, Python, Java, and Generative AI, with experience migrating legacy applications using AI workflows and agent development.

Key Responsibilities

• Design and develop scalable full stack applications, REST APIs, and microservices.
• Build production-ready RAG pipelines, AI agents, multi-agent workflows, and AI Gateway integrations.
• Develop reusable AI components and shared libraries adopted across multiple teams.
• Lead architecture decisions, technical delivery, sprint planning, and stakeholder discussions.
• Drive legacy application migration using AI-assisted development and agentic workflows.
• Implement secure authentication, API security, credentials management, and AI governance.
• Build CI/CD pipelines and containerized deployments; monitor AI quality, hallucinations, performance, and cost.

Required Skills

• Frontend: React.js, TypeScript, Angular.
• GenAI: Azure OpenAI/OpenAI APIs, RAG, Vector Databases, LangChain, LangGraph, AI Agents, MCP, Prompt Engineering, Function Calling, Semantic Search, AI Gateway (LiteLLM).
• Security: OAuth2, OpenID Connect, API Security, Secrets Management, AI Governance.
• DevOps: Docker/Podman, CI/CD, Linux administration and deployments.
• Leadership: Architecture ownership, reusable platform components, technical leadership, and end-to-end enterprise delivery.