Home/Jobs/Full Stack Developer- Generative AI Full Stack Developer- Generative AI Recruitment Hub 365 Pune / Baner 5-8 years Today $36.1K–48.2K/yr Full-time Hybrid Skills Required LLM RAG LangChain LlamaIndex Agentic AI OpenAI Embeddings Vector Database AWS Bedrock AWS React Next.js Node.js Python Java Description Seeking a GenAI Full-Stack Lead Engineer to build production-grade frontend, backend, cloud, and GenAI systems for a FinTech environment.

Role: GenAI Full-Stack Lead Engineer Location: Baner, Pune (Hybrid) | Hybrid remote in Baner, Pune, Maharashtra Experience 5–8 years of software engineering experience

Prior FinTech experience is mandatory

Strong proficiency in React.js or Next.js

Strong backend development experience in Node.js, Python, Java, Golang, .NET, or any modern backend technology

Experience building and deploying production applications on AWS, including AWS Bedrock

Hands-on experience with REST APIs, microservices, and distributed systems

Solid understanding of RAG architectures, embeddings, vector databases, and retrieval optimization

Experience with LLM APIs and frameworks such as LangChain or LlamaIndex

Practical experience developing AI Agents and Agentic AI workflows

Experience with Docker, CI/CD pipelines, and cloud-native architectures Responsibilities Build scalable user-facing applications using React, Next.js, or similar frontend frameworks

Develop backend services using modern backend technologies

Design and develop RESTful and/or GraphQL APIs

Implement secure authentication, authorization, and system integrations

Ensure high performance, scalability, reliability,



and code quality across the application stack

Design and implement end-to-end RAG pipelines

Integrate and orchestrate LLM APIs and foundation models

Build AI agents and agentic workflows for reasoning, tool execution, task orchestration, and autonomous decision-making

Develop reusable prompt frameworks, guardrails, caching, evaluation pipelines, and fallback mechanisms

Optimize AI systems for latency, accuracy, scalability, safety, and cost

Deploy and manage applications on AWS

Build CI/CD pipelines and automate deployments across staging and production environments

Implement monitoring, logging, tracing, and performance optimization

Develop AI-powered features for financial products with security, compliance, and auditability

Process structured and unstructured financial data for intelligent automation

Ensure AI solutions align with FinTech regulations and business requirements

Collaborate with product, compliance, engineering, and business teams Nice To Have Experience with FastAPI, Spring Boot, Express.js, Core, or Gin

Experience with Terraform, Kubernetes, or serverless architectures

Experience with model fine-tuning or domain adaptation techniques

Knowledge of compliance standards such as PCI-DSS, SOC2, and GDPR





Experience with event-driven architectures and messaging systems More Skills Golang, .NET, NLP, REST APIs, GraphQL APIs, microservices, distributed systems, Docker, CI/CD, cloud-native architectures, Anthropic Claude, Lambda, ECS, EKS, S3, API Gateway, DynamoDB, RDS, Pinecone, Weaviate, Chroma, Milvus, FastAPI, Spring Boot, Express.js, Core, Gin, Terraform, Kubernetes, serverless architectures, model fine-tuning, event-driven architectures, messaging systems Other Shift time: 2:00 PM – 11:00 PM (IST)

Pay: ₹3,000,000.00 - ₹4,000,000.00 per year

Flexible schedule Follow for Daily AI Tutorials Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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