Full Stack Developer

As a GenAI Full-Stack Lead Engineer at our company, your primary role will be to utilize your strong software engineering skills to develop production-grade frontend, backend, and GenAI-driven systems, with a focus on RAG pipelines, LLM APIs, Agentic LLM architectures, and cloud deployment on AWS Bedrock. Your expertise in FinTech will be highly valued in this position. Key Responsibilities: - 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. - Design and implement end-to-end RAG pipelines, including ingestion, chunking, embeddings, vector DB indexing, and retrieval tuning. - Integrate and orchestrate LLM APIs (OpenAI, Anthropic, AWS Bedrock models, etc.). - 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. - Build GenAI features for financial workflows with high accuracy, security, compliance, and auditability. - Collaborate with product, risk, compliance, and cross-functional engineering teams. Qualifications Required: - 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. - Familiarity with microservices, distributed systems, and secure software design. - Prior FinTech experience (payments, lending, underwriting, risk, banking, treasury, fraud systems, or similar). This role offers the opportunity to work on cutting-edge GenAI technologies and contribute to the development of advanced financial systems. If you are a seasoned Full-Stack Engineer with a passion for innovation and a background in FinTech, we encourage you to apply and be part of our dynamic team. As a GenAI Full-Stack Lead Engineer at our company, your primary role will be to utilize your strong software engineering skills to develop production-grade frontend, backend, and GenAI-driven systems, with a focus on RAG pipelines, LLM APIs, Agentic LLM architectures, and cloud deployment on AWS Bedrock. Your expertise in FinTech will be highly valued in this position. Key Responsibilities: - 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. - Design and implement end-to-end RAG pipelines, including ingestion, chunking, embeddings, vector DB indexing, and retrieval tuning. - Integrate and orchestrate LLM APIs (OpenAI, Anthropic, AWS Bedrock models, etc.). - 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. - Build GenAI features for financial workflows with high accuracy, security, compliance, and auditability. - Collaborate with product, risk, compliance, and cross-functional engineering teams. Qualifications Required: - 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. - Familiarity with microservices, distributed systems, and secure software design. - Prior FinTech experience (payments, lending, underwriting, risk, banking, treasury, fraud systems, or similar). This role offers the opportunity to work on cutting-edge GenAI technologies and contribute to the development of advanced financial systems. If you are a seasoned Full-Stack Engineer with a passion for innovation and a background in FinTech, we encourage you to apply and be part of our dynamic team.