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A senior full-stack engineer role owning the product lifecycle: building cross-platform Android/iOS apps with React Native and scalable backend microservices with Java/Spring Boot, plus APIs, databases, and CI/CD on cloud. Requires 7-15 years of experience; positions available across multiple Indian cities.
Hands-on engineering lead in New Delhi (hybrid) who owns end-to-end delivery of AI and data applications for enterprise clients while managing a team of 3-5 engineers. Core stack: Python backend, SQL and data pipelines, APIs, modern frontend, cloud infrastructure, and LLM-powered/agentic systems.
Senior full-stack engineer (AI-focused) at Belzabar's New Delhi office, owning feature delivery end-to-end: Python backend, React/TypeScript frontend, and LLM/ML pipeline integration, shipping production-quality features weekly. Requires 5+ years of production engineering and strong CS fundamentals.
ScaleneWorks is hiring a Principal Engineer (.NET Full Stack) Architect in Bangalore to lead software architecture and solution design. The role centers on backend systems and microservices built with .NET/C#, paired with advanced front-end work in React/TypeScript or Angular.
Full-Stack Software Engineer I at Babaclick's Gurugram team, building the internal commerce infrastructure behind sourcing, pricing, catalogue growth, workflow automation, and reporting. Day to day spans backend services, APIs, frontend apps, and data tooling, with AI coding assistants (Cursor, Claude Code, Copilot) as a core part of the workflow.
Junior full-stack engineer at an early-stage AI company building an AI-native platform for process industries (chemicals, pharma, energy, water). Day to day you ship production features across a FastAPI backend and Next.js/TypeScript frontend, with a path into the LangChain/LangGraph agent stack.
Designs and maintains data pipelines connecting Dynamics 365 to Azure data engineering platforms, and develops AI/GenAI analytics and automation solutions on D365 data for the firm's application management (AMS) clients. Hybrid role (1 day/week in office) for a 6-7 year experienced engineer.
Senior full-stack engineer at an AI startup in Maharashtra, India who designs, builds, and maintains complete web applications using the MERN stack (React, Node.js, MongoDB) alongside Python, REST/GraphQL APIs, JWT/OAuth auth, and CI/CD deployment, while mentoring junior developers and overseeing the full development lifecycle.
Senior pre-sales Solutions Engineer in India acting as the technical authority in sales engagements for an AI, identity and data-security product. Day to day: technical discovery, designing and demoing Dockerized POCs across LLM/AI-agent security, DLP and identity (SSO/OAuth, Entra ID, Okta), and running customer workshops, using Python, Linux and cloud platforms.
Full-stack software engineer (2–3 years' experience) at an early-stage AI startup building video technology for sports and media, based in India. Day to day: build React/TypeScript frontends and Node.js/Python backends and APIs, integrate AI/ML services, and develop, deploy, and monitor video processing pipelines on Google Cloud.
Hands-on lead role building production ML/AI systems for logistics operations — turning data into predictions, anomaly detection and recommended actions for delivery teams. Core stack includes Python, statistical/ML modeling, AWS, Docker, APIs and MLOps/CI-CD practices.
Software Engineer I (Data) building and modernizing data products for Best Buy's Business Data Domain team in Bengaluru. Day-to-day involves hands-on SQL and Python development, data model tuning, and migrating data warehouses/BI tools to Google Cloud, working in Agile squads with Product Managers and Architects in a hybrid (3 days in-office) model.
Staff Software Engineer on The Hartford's Employee Benefits cloud team in Hyderabad, building Spring Boot APIs and Angular UIs deployed on AWS (Lambda), with SQL and DevSecOps practices and use of Generative AI development tools. Requires 8+ years of software engineering experience.
Designs and owns Clearstate's LLM-based ingestion and analysis pipeline, converting unstructured MedTech market data (interview transcripts, trade/tender datasets) into validated structured intelligence that lands in BigQuery/Snowflake. Core stack: Python, open-source and API LLMs, prompt engineering, ETL/ELT, and evolving agentic workflows.
A principal-level backend architect role (Pune, on-site) building an AI-integrated global distributed file system and hybrid-cloud data management platform. Day to day: architecting production RAG pipelines, agentic chatbots and vector-database integrations while writing high-performance Golang/Java storage components.
Hands-on full-stack role at a consumer product company (BhaktiLok, CashAlert): build Android apps in Kotlin end-to-end, plus backend services, REST APIs, databases, payment-gateway and third-party SDK integrations, cloud deployment, and production support. Office-based in Bengaluru; no remote/WFH.
Mid-level Python full stack developer (3-5 yrs) building scalable SaaS platforms: Django backend services and REST APIs, React frontends, Celery tasks, and PostgreSQL with pgvector. The role also develops RAG-based AI chatbots using LLM platforms (Claude, OpenAI) and deploys on AWS (EC2, S3, RDS, Lambda) with CI/CD.
Incedo Inc. is hiring a Full Stack Windows Application Developer in Mumbai to maintain, enhance, and modernize existing/legacy native Windows applications. Day-to-day work centers on C++ with the Win32 API and MFC in Visual Studio/MSBuild, including system-level or hardware-interfacing code, with preferred exposure to TDD, Azure DevOps, and UX/usability practices.
Lead full-stack Java developer (6–10 yrs experience) at Foxsense Innovations in Coimbatore, designing and building scalable web applications and platforms end to end using Java, Spring Boot, microservices, REST APIs, Angular/React, SQL/ORM and AWS, while documenting solutions and driving engineering standards.
Internship with Kotak Institutional Equities' Derivatives desk in Mumbai: build Python/AI solutions to automate data-intensive workflows, develop low-latency real-time data pipelines, and apply NLP/LLMs to extract insights from documents, collaborating with Trading, Data, and Technology teams in an institutional trading environment.
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