Senior AI Full Stack Developer

r3 Consultant; Maharashtra; Hybrid; INR 2,539,000 - 3,041,000; Part time

Job summary

r3 Consultant is seeking a Senior AI Full Stack Developer in Pune for a 6-month contract. You will own end-to-end AI-enabled feature delivery, from data grounding to deployment and monitoring, building scalable enterprise apps using TypeScript, React, Next.js, Node.js on AWS.

You will design GenAI features, implement event-driven architectures, and ensure security and governance across AI pipelines, with a focus on production-grade solutions and cost optimization.

Qualifications

• 5+ years building production applications with hands-on AI/LLM features on AWS.
• Enterprise-grade full-stack delivery: TypeScript, Next.js, Node.js, AWS, Aurora PostgreSQL.
• Proven AI-enabled product features integrated into production business apps.
• Strong understanding of Generative AI/Agentic AI: RAG, embeddings, vector search, agents, tools.
• Experience shipping AI solutions on Bedrock, Bedrock AgentCore, AWS Glue, AWS Lambda (production).

Responsibilities

• Own end-to-end delivery of AI-enabled features across data grounding, agent design, and deployment.
• Build and deploy enterprise-grade full-stack apps using TS/React/Next.js/Node.js on AWS.
• Develop GenAI features with Bedrock and related services integrated into enterprise apps.
• Design event-driven architectures using EventBridge, SQS, SNS, and Step Functions.
• Create scalable data pipelines for AI workloads and intelligent application features.
• Lead AI operations: evaluation, prompt lifecycle, observability, governance, cost optimization.
• Implement AI guardrails, governance controls, and security against prompt injection and leaks.
• Analyze requirements, design solutions, perform code reviews, support delivery.
• Follow security practices: authN/authZ, encryption, audit logging, secrets management.

Skills

5+ years

Enterprise full-stack

AI-enabled features

Generative AI/Agentic AI

Bedrock/AWS AI tools

Production Python

Event-driven AWS

Docker/containerization

Software engineering fundamentals

Education

Bachelor's in Computer Science

Tools

Bedrock

Bedrock AgentCore

AWS Glue

AWS Lambda

EventBridge

SQS

SNS

Step Functions

Aurora PostgreSQL

TypeScript

React

Next.js

Node.js

Docker

Job description

Job Title: Senior AI Full Stack Developer

Reports to: Team Lead / Manager, IT Development

Department: IT Dev

Location: Pune

Work Mode: Hybrid

Engagement: 6-month contract

Experience: 5-7+ years

Education: Bachelor's in Computer Science or related field, or equivalent hands-on experience

Budget/CTC: Up to ₹2.5 LPM (contract rate)

Notice Period: Immediate to 15 days preferred

Roles & Responsibilities

• Own end-to-end delivery of AI-enabled features: data grounding/retrieval design, agent design, application integration, deployment, production monitoring, optimization, ongoing support
• Design, build, and deploy enterprise-grade full-stack applications using TypeScript, React, Next.js, Node.js, AWS, Aurora PostgreSQL
• Build GenAI/Agentic AI features - prompting, RAG, embeddings, vector search, agents, tool usage - using Amazon Bedrock, Bedrock AgentCore, AWS Glue, AWS Lambda, integrated into enterprise apps (not standalone prototypes/notebooks)
• Design and implement event-driven architectures using EventBridge, SQS, SNS, Step Functions
• Build scalable data pipelines supporting AI workloads and intelligent application features
• Own AI operational practices: evaluation, prompt lifecycle management, observability, monitoring, governance, cost optimization
• Design AI guardrails, governance controls, evaluation frameworks; secure AI apps against prompt injection, sensitive info disclosure, data leakage
• Analyze business requirements, design software solutions, perform code reviews, support application delivery
• Apply software security practices: authN/authZ, encryption in transit/at rest, audit logging, secrets management, dependency management

Mandatory Skills

• 5+ yrs building production applications, including hands-on delivery of AI/LLM-backed features on AWS
• Proven enterprise-grade full-stack delivery: TypeScript, Next.js, Node.js, AWS, Aurora PostgreSQL
• Proven delivery of AI-enabled product features integrated into production business applications
• Strong understanding of Generative AI/Agentic AI: RAG, embeddings, vector search, agents, tool usage, AI evaluation methodologies
• Experience shipping AI solutions on Bedrock, Bedrock AgentCore, AWS Glue, AWS Lambda (production, not notebooks)
• Production Python for AI workloads/backend/automation + TypeScript/Node.js for enterprise apps
• Event-driven architecture on AWS (EventBridge, SQS, SNS, Step Functions)
• Docker/containerization, deployment within AWS
• Software engineering fundamentals: version control, testing, code reviews, IaC, CI/CD, Agile

Good to Have

• AWS AI/ML certifications
• Prior experience in enterprise integration patterns beyond event-driven basics
• Exposure to multi-tenant AI system design and cost isolation