Full Stack Developer [Java + Gen AI]

Job Description:<\/b> Experienced Full Stack Developer (GenAI)
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Position:<\/b> Full Stack Developer (GenAI Applications)
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Location:<\/b> Hyderabad, India
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Required:<\/b> 5+ Years
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Employment Type:<\/b> Full\-Time
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Requirements<\/h3>
Role Overview<\/b>
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We are looking for a highly motivated and self\-driven Full Stack Developer with strong expertise\nin Node.js, Java, and Python, along with hands\-on experience in Generative AI development.\nThe ideal candidate will play a pivotal role in building and scaling QMentisAI and other\nenterprise\-grade GenAI\-enabled solutions at QualiZeal. You will work on cutting\-edge AI\nworkflows such as RAG pipelines, Model Context Protocol (MCP), and Agentic frameworks\nusing LangChain and LangGraph.
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This role is ideal for a go\-getter who thrives in a fast\-paced environment, has strong problemsolving skills, and can contribute to self\-sustaining Agile teams delivering innovation in Quality\nEngineering.
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Key Responsibilities<\/b>
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Full\-Stack Development<\/b>
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  • Design, develop, and maintain scalable web applications using Node.js, Java, and\nPython.<\/span>
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  • Build and optimize APIs, microservices, and server\-side logic.<\/span>
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  • Implement intuitive and responsive user interfaces using modern front\-end\nframeworks (e.g., Angular, React, or Vue).
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    Generative AI Integration<\/b>
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    • Develop and integrate LLM\-powered features into enterprise QE workflows.<\/span>
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    • Implement RAG architectures, vector databases (Pinecone, Weaviate, FAISS),\nand embeddings pipelines.<\/span>
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    • Work with LangChain, LangGraph, and agentic AI frameworks to design\nintelligent automation flows.<\/span>
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    • Explore MCP (Model Context Protocol) for context\-aware LLM integrations.
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      Cloud & DevOps<\/b>
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      • Deploy and manage applications on AWS, Azure, or GCP.<\/span>
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      • Work with containerization/orchestration tools (Docker, Kubernetes) to ensure\nscalability and reliability.<\/span>
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      • Contribute to CI/CD pipelines for rapid development and deployment.
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        Innovation & Collaboration<\/b>
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        • Stay ahead of emerging GenAI trends (e.g., LLM fine\-tuning, agent frameworks,\norchestration tools).<\/span><\/span>
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        • Collaborate with Product Owners, AI engineers, and UI/UX teams to deliver\nseamless features.<\/span><\/span>
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        • Mentor junior developers and actively contribute to Agile ceremonies.<\/span><\/span>
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        • Drive self\-sustaining Agile squads, taking ownership of delivery outcomes.\nRequired Skills & Qualifications
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          Technical Expertise <\/b>
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          • Proficiency in Node.js, Java, Python with full\-stack development experience.<\/span>
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          • Hands\-on with LangChain, LangGraph, RAG, and vector databases.<\/span>
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          • Familiarity with cloud platforms (AWS, Azure, GCP).<\/span>
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          • Knowledge of microservices, REST/GraphQL APIs, and backend integration.\n\u2022 <\/span>
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            AI & GenAI Skills<\/b><\/span>
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            • Practical exposure to LLM\-based application development.<\/span><\/span>
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            • Understanding of MCP (Model Context Protocol).<\/span><\/span>
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            • Experience with prompt engineering, embeddings, and agentic frameworks.
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              Professional Attributes <\/b>
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              • 5+ years of relevant experience as a Full Stack Developer.<\/span>
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              • Strong debugging, optimization, and architectural design skills.<\/span>
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              • Self\-motivated, proactive, and able to lead Agile teams independently.<\/span>
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              • Excellent communication and collaboration skills.
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                Preferred Qualifications <\/b>
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                • Experience with test automation frameworks (Selenium, Playwright, Cypress).<\/span>
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                • Exposure to MLOps practices for LLM deployment.
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                • Knowledge of ISO 29119, ISTQB standards, or Agile Testing Quadrants.
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                • Prior experience in BFSI, Insurance, Healthcare, or Retail domains.
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