Senior AI Full Stack Developer

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 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 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/ 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

Required Skills:

Generative AI (GenAI) Agentic AI Amazon Bedrock Large Language Models (LLMs) Bedrock AgentCore Retrieval-Augmented Generation (RAG) TypeScript Python AWS Cloud AWS Glue AWS Lambda Aurora PostgreSQL REST APIs EventBridge Amazon SQS Event-Driven Architecture CI/CD Docker Code Reviews Cloud-Native Development Full Stack Development Performance Optimization Business Requirement Analysis