Full Stack Lead Engineer - Generative AI

Open Position : GenAI Full-Stack Lead Engineer

Location : Remote

Experience : 5 - 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 deployment especially 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 - 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.