Description :

Open Position : GenAI Full-Stack Lead Engineer

Location : Remote

Experience : 5 to 8 Years

Must-Have : (React and/or Next.js) + (Node.js and/or Python) + AWS +LLM + NLP

Shift Time : 2 : 00 PM to 11 : 00 PM (IST)

Position Overview :

We are seeking a GenAI Full-Stack Lead Engineer with strong software engineering fundamentals and the ability to build production-grade frontend, backend, and GenAI-driven systems. The ideal candidate has deep expertise in RAG pipelines, LLM APIs, Agentic LLM architectures, and cloud deploymentespecially on AWS Bedrock. Prior FinTech experience is mandatory.

Key Responsibilities :

1. Full-Stack Engineering :

- Build scalable user-facing applications using React, Next.js, or similar frameworks.

- Develop backend services in Node.js or Python, including REST and GraphQL APIs.

- Implement secure authentication, authorization, and integration patterns.

- Ensure performance, reliability, and high code quality across the stack.

2. GenAI Systems & Agentic Architectures :

- Design and implement end-to-end RAG pipelinesincluding ingestion, chunking, embeddings, vector DB indexing, and retrieval tuning.

- Integrate and orchestrate LLM APIs (OpenAI, Anthropic, AWS Bedrock models, etc.).

- Build LLM Agents and Agentic workflows for multi-step reasoning, tool use, task delegation, and autonomous execution.

- Develop internal frameworks for prompts, guardrails, caching, evaluation, and fallback logic.

- Optimize LLM latency, cost, safety, and output reliability.

3. Cloud Engineering & DevOps :

- Deploy and scale applications on AWS using services such as AWS Bedrock, Lambda, ECS/EKS, S3, API Gateway, DynamoDB, and RDS.

- Build CI/CD pipelines, automate deployments, and manage staging/production environments.

- Implement observability (logging, metrics, tracing) and cost optimization.

- Work with vector databases such as Pinecone, Weaviate, Chroma, and Milvus.

4. FinTech Product Development :

- Build GenAI features for financial workflows with high accuracy, security, compliance, and auditability.

- Work with structured and unstructured financial data, documents, and transactional datasets.

- Ensure AI systems follow FinTech domain rules, constraints, and regulatory requirements.

- Collaborate with product, risk, compliance, and cross-functional engineering teams.

Required Skills & Experience :

- 5 to 8 years of full-stack software engineering experience.

- Strong proficiency with React/Next.js, Node.js, and/or Python.

- Hands-on experience deploying production systems on AWS, including AWS Bedrock.

- Expertise with Python ecosystem : FastAPI, Pydantic, Docker, Terraform, AWS Lambda, AWS Agentcore, AWS Strands, PyPI package creation.

- Strong knowledge of RAG architectures, vector databases, embeddings, and retrieval tuning.

- Experience working with LLM APIs and frameworks such as LangChain or LlamaIndex.

- Practical experience building LLM Agents and Agentic LLM systems.

- Familiarity with microservices, distributed systems, and secure software design.

- Prior FinTech experience (payments, lending, underwriting, risk, banking, treasury, fraud systems, or similar).

Nice to Have :

- Experience with model fine-tuning or supervised RL for domain adaptation.

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

- Experience with event-driven architectures and serverless systems.