AI-Driven Fullstack Engineer for Intelligent SDLC

PepsiCo; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Infosys is seeking a Full Stack AI Developer specializing in AI-powered SDLC, Agentic AI, and modern stacks to build intelligent enterprise apps. You will create Java microservices with Spring Boot and Python services with FastAPI, while injecting AI into development practices using MCP, context engineering, and LLM-based automation.

You will work with engineers, QA, and product teams to deliver robust APIs, services, and AI-driven workflows, including RAG and semantic search implementations, in

Qualifications

• Bachelor’s degree or foreign equivalent; three years of progressive experience in lieu of every year of education.
• 8+ years of IT experience with at least 4 years in microservices-based development.
• Full stack experience: ReactJS, Java, Spring Boot, Python, Kotlin, FastAPI.
• Develop MCP-based extensions to streamline developer workflows.
• Apply context-engineering for structured AI reasoning.
• Design and build Agentic AI workflows using LangChain, LangGraph, and autonomous agents.
• Build LLM-integrated CI/CD workflows.
• Work with cross-functional teams to drive AI adoption.

Responsibilities

• Build APIs and services that hold up under real traffic.
• Design AI solutions using RAG, semantic search, and autonomous agent frameworks.
• Contribute to AI-enabled SDLC tooling and workflows within the team.

Skills

Java programming

Spring Boot

Python programming

Kotlin programming

ReactJS

FastAPI

LLM integration

Cross-functional collaboration

Education

Bachelor’s degree or foreign equivalent

Experience substitution option: 3 years of progressive experience in lieu of education

Tools

Docker

Kubernetes

Terraform

Azure DevOps

Kafka

Azure OpenAI

AWS Bedrock

LangChain

LangGraph

GitHub Copilot

Windsurf

Devin

Job description

Infosys is seeking a Full Stack AI Developer specializing in AI-powered SDLC, Agentic AI, and modern stacks to build intelligent enterprise apps. You will create Java microservices with Spring Boot and Python services with FastAPI, while injecting AI into development practices using MCP, context engineering, and LLM-based automation.

You will work with engineers, QA, and product teams to deliver robust APIs, services, and AI-driven workflows, including RAG and semantic search implementations, in