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Full-stack developer building AI-driven web applications with React and Python/Django, integrating LLM APIs, RAG pipelines, and AI agents via LangChain/LangGraph, backed by PostgreSQL/MySQL and vector databases, deployed on AWS. Onsite, full-time role in Salem, Tamil Nadu for candidates with roughly 2-4 years of experience.
A senior full-stack/AI engineer (5–7 yrs) who designs backend microservices and APIs in Java/Kotlin (Spring Boot) or Python (FastAPI), deploys ML models to production, and builds frontends in React/SvelteKit on Postgres/MSSQL/NoSQL, AWS/Azure, integrating LLM APIs like Claude, OpenAI, and Gemini.
Owns the full lifecycle of GenAI-powered products at enreap: integrating LLMs and building RAG pipelines and agentic workflows, then shipping production-grade React front ends, Node.js/Python back ends, and AWS cloud infrastructure. Needs 3-5 years of full-stack experience with a strong NLP/transformer foundation.
Applix is hiring a Full Stack AI Engineer in Hyderabad (6 days/week on-site) to own AI products end-to-end: designing LLM/RAG/agentic workflows, building Python backends and React frontends, creating data pipelines, and deploying to Kubernetes across cloud platforms — shipping production-ready systems in weeks, not quarters.
Senior consultant (5–8 yrs) who owns the architecture and end-to-end delivery of AI-enabled enterprise products: Python (FastAPI/Django/Flask) backends, React/Next.js and SAPUI5 frontends, RAG and agentic LLM systems, plus SAP BTP/S/4HANA integration, running everything from design through production operations and mentoring other engineers.
Lead Full Stack Engineer building AI-enabled, cloud-native applications for a FinTech product, owning features end-to-end from design to deployment. The role is ~70% backend (Python, PostgreSQL, AWS serverless) and ~30% frontend (React.js), with hands-on integration of LLMs and Generative AI APIs into production.
Full-stack developer (3–6 yrs) building an AI-powered QA automation platform that uses LLMs to generate, run, and self-heal Playwright browser tests. Work spans async Python/FastAPI backend APIs and job pipelines, LLM prompt engineering, a React/TypeScript dashboard, and Azure/Linux deployment.
Senior full-stack developer building production web apps end to end: React + Vite frontends, Node.js/Express/NestJS APIs, and PostgreSQL/MongoDB databases. The role emphasizes AI-assisted development with tools like Claude and ChatGPT, while reviewing and validating all AI-generated code. Remote/hybrid from Maharashtra, India.
Lead full-stack engineer driving a high-performance pod: builds scalable web apps with Python backends (FastAPI/Django/Flask) and React.js/Angular frontends, owns low-level design, CI/CD, Docker/Kubernetes and cloud IaC, and mentors developers. Full-time, onsite in Chennai, 6+ years' experience required.
Senior full-stack engineer at Interactly.ai (Hyderabad) building AI-powered healthcare automation: architecting scalable end-to-end features across React and Python (FastAPI/Django), leading LLM/agentic integrations (OpenAI, Anthropic, Gemini) in production, and mentoring engineers while shaping SDLC and engineering standards.
Contract (12–18 months) hybrid role in Gurugram for a senior full-stack engineer who builds production-grade applications and APIs with AI/LLM capabilities using Python and TypeScript. Day to day spans backend services, web UIs, AI integrations (agents, RAG), and collaboration with US-based teams during 2:30–11:30 PM IST hours.
Senior full-stack engineer building a cloud-native environmental & compliance management SaaS platform on Microsoft Azure and Microsoft Fabric. Day-to-day: designing React + .NET microservices, REST APIs, and databases, integrating with Fabric data platforms and AI features, and using AI-assisted coding tools. Requires 10+ years experience and hands-on Microsoft Fabric.
Full Stack Engineer (hybrid, Bengaluru) joining a small team that builds systems processing large volumes of enterprise data with reliable workflows and AI/LLM capabilities. Day-to-day spans backend APIs in TypeScript/NestJS, frontend in React + Vite, Python data/AI workflows, and cloud infra on Azure.
IQVIA India is hiring a Senior Full Stack Developer in Kochi (hybrid, 2 days/week in office) to build full-stack web applications with Node.js and React while designing agentic AI systems — multi-agent orchestration, LangGraph state management, RAG retrieval, and MCP tool integration. Requires 5–7 years' experience with 5 years each in Node.js and React.
Full Stack Developer in Bangalore building real-time trading and risk-management software for major fintech clients, working across the full SDLC with Java/Spring Boot, JavaScript/Node.js, Python and React/Angular, plus AI/LLM work involving LangChain, LangGraph, RAG and OCR document extraction.
QualiZeal is hiring a Full Stack Developer - GenAI in Hyderabad to design, build, and deploy scalable quality-engineering applications that integrate LLMs. The role combines Angular/TypeScript frontend work, Node.js backend APIs, and AI workflows using LangChain, LangGraph, and RAG.
Builds and maintains enterprise Java (Spring Boot, REST APIs) and Python applications for a payments/banking client, with heavy use of AI-assisted development tools like GitHub Copilot, LangChain, and Spring AI. Requires 3+ years enterprise experience, strong SQL and CI/CD skills, and is based in Noida, India.
Moneyview is hiring an SDE I - AI Engineer (1-2 years experience) in Bangalore to build AI features using Python, RAG, MCP, evals, AI memory, and Langchain, including fine-tuning and building small language models. Prior Java experience is a plus.
Antrino Labs, a Swedish seed-stage startup backed by Nvidia, Microsoft and AWS, is hiring an AI Backend Engineer (fully remote within India) to build the Python/TypeScript backend services, graph-to-execution-plan compiler/runtime, and LLM-driven Agent behind its computer-vision platform, using FastAPI, PostgreSQL/Supabase, and real-time video pipelines.
Senior Java Developer (7+ yrs) at UST building services around Agentic AI and GenAI: day-to-day work spans Core Java, Spring Boot microservices, REST APIs, Kafka, and Docker/Kubernetes, plus LLM-driven agents using LangChain/LangGraph, prompt engineering and RAG. Immediate joiners preferred; open to any UST location.
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