Full-Stack Engineer (AI/ML & MERN Stack)

ppWe’re looking for a full-stack engineer with strong NodeJS / Python experience, combined with solid MERN-stack development skills. This role mixes applied AI work, backend engineering, and full product delivery. You’ll work across data pipelines, APIs, model integration, retrieval-augmented generation (RAG) systems, and cloud-native deployments. /ph3Responsibilities /h3ulliBuild and maintain full-stack applications using the MERN stack (NestJS, React, TypeScript) /liliDevelop backend services and AI-driven features using TypeScript /liliHelp to maintain RAG pipelines, vector databases, embeddings workflows, and model-serving integrations /liliImplement scalable APIs and microservices integrating ML or LLM-based components /liliDeploy and manage services in AWS and/or GCP (compute, storage, networking, CI/CD) /liliWork with PostgreSQL, Redis and Qdrant for structured and unstructured data /liliCollaborate with product and technical teams to take AI-powered features from prototype to production /liliMaintain quality, performance, and reliability across the stack /li /ulh3Required Skills /h3ulliStrong TypeScript experience for backend development and applied ML /liliHands‑on experience building RAG systems: vector stores, retrieval layers, embedding models /liliSolid understanding of LLM integration, prompt patterns, and model‑serving frameworks /liliMERN‑stack experience with strong React proficiency /liliStrong Node.js and Express experience for API development /liliProficiency with PostgreSQL and database‑schema design /liliExperience deploying both traditional and ML workloads on AWS or GCP /liliGood grasp of distributed systems, containers, and CI/CD workflows /li /ulh3Nice to Have /h3ulliWork across ML workflows: data ingestion, preprocessing, inference, and evaluation /liliExperience with Haystack, or similar frameworks /liliExposure to GPU workflows, inference optimization, or fine‑tuning /liliFamiliarity with serverless environments /liliExperience with observability tools across backend and ML systems /li /ulh3Profile /h3ulliComfortable owning work across backend, frontend, and ML integration /liliAble to move quickly between prototyping and production‑grade implementation /liliPragmatic, product‑oriented, and comfortable operating in ambiguous environments /li /ul /p #J-18808-Ljbffr