Senior AI Full stack Engineer

Overview

Job Summary

We are looking for a high-impact Senior Full-Stack AI Engineer who combines deep end-to-end product engineering with hands-on expertise in modern AI/ML systems. You will architect and build production-grade applications that span intelligent frontends, robust Python backends, and cloud-native AWS infrastructure.

In this role, you will bridge the gap between AI infrastructure and user experience, building cutting-edge capabilities including Retrieval-Augmented Generation (RAG), MLOps pipelines, and Agentic AI workflows deployed entirely at scale on cloud infrastructure

Duties & Responsibilities

• Design and develop scalable, accessible, and high-performance UIs using React JS and/or Angular.
• Build and maintain high-throughput, low-latency RESTful APIs using Python frameworks (FastAPI).
• Architect and deploy cloud-native solutions using EC2, Lambda, ECS/EKS, S3, RDS, DynamoDB, and API Gateway
• Build and optimize end-to-end RAG pipelines — document ingestion, chunking, embedding, retrieval, and generation.
• Work with vector databases (Pinecone and OpenSearch) to power semantic search and Q&A systems.

Design and deploy Agentic AI workflows using frameworks such as LangChain etc

Skills Required

• 8–10 years of overall software engineering experience
• Minimum 6 years of hands-on, end-to-end full stack development.
• Minimum 2 years of dedicated experience in AI/ML engineering (RAG, MLOps, Agentic AI)
• Expert-level proficiency in React JS and/or Angular for production applications
• Strong command of Python for backend services, data processing, and ML workloads
• Proven experience designing and operating solutions on AWS at scale
• Solid grasp of software engineering fundamentals: data structures, distributed systems, and design patterns
• Excellent communication skills — ability to present technical trade-offs to non-technical stakeholders