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
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