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>
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Requirements<\/h3>Role Overview<\/b>
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<\/div>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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<\/div>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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<\/div>Key Responsibilities<\/b>
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<\/div>Full\-Stack Development<\/b>
<\/div>- Design, develop, and maintain scalable web applications using Node.js, Java, and\nPython.<\/span>
<\/li>- Build and optimize APIs, microservices, and server\-side logic.<\/span>
<\/li>- Implement intuitive and responsive user interfaces using modern front\-end\nframeworks (e.g., Angular, React, or Vue).
<\/li><\/ul>Generative AI Integration<\/b>
<\/div>- Develop and integrate LLM\-powered features into enterprise QE workflows.<\/span>
<\/li>- Implement RAG architectures, vector databases (Pinecone, Weaviate, FAISS),\nand embeddings pipelines.<\/span>
<\/li>- Work with LangChain, LangGraph, and agentic AI frameworks to design\nintelligent automation flows.<\/span>
<\/li>- Explore MCP (Model Context Protocol) for context\-aware LLM integrations.
<\/span><\/li><\/ul>Cloud & DevOps<\/b>
<\/div>- Deploy and manage applications on AWS, Azure, or GCP.<\/span>
<\/li>- Work with containerization/orchestration tools (Docker, Kubernetes) to ensure\nscalability and reliability.<\/span>
<\/li>- Contribute to CI/CD pipelines for rapid development and deployment.
<\/span><\/li><\/ul>Innovation & Collaboration<\/b>
<\/div>- Stay ahead of emerging GenAI trends (e.g., LLM fine\-tuning, agent frameworks,\norchestration tools).<\/span><\/span>
<\/li>- Collaborate with Product Owners, AI engineers, and UI/UX teams to deliver\nseamless features.<\/span><\/span>
<\/li>- Mentor junior developers and actively contribute to Agile ceremonies.<\/span><\/span>
<\/li>- Drive self\-sustaining Agile squads, taking ownership of delivery outcomes.\nRequired Skills & Qualifications
<\/span><\/span><\/li><\/ul>Technical Expertise <\/b>
<\/div>- Proficiency in Node.js, Java, Python with full\-stack development experience.<\/span>
<\/li>- Hands\-on with LangChain, LangGraph, RAG, and vector databases.<\/span>
<\/li>- Familiarity with cloud platforms (AWS, Azure, GCP).<\/span>
<\/li>- Knowledge of microservices, REST/GraphQL APIs, and backend integration.\n\u2022 <\/span>
<\/li><\/ul>AI & GenAI Skills<\/b><\/span>
<\/div>- Practical exposure to LLM\-based application development.<\/span><\/span>
<\/li>- Understanding of MCP (Model Context Protocol).<\/span><\/span>
<\/li>- Experience with prompt engineering, embeddings, and agentic frameworks.
<\/span><\/span><\/li><\/ul>Professional Attributes <\/b>
<\/div>- 5+ years of relevant experience as a Full Stack Developer.<\/span>
<\/li>- Strong debugging, optimization, and architectural design skills.<\/span>
<\/li>- Self\-motivated, proactive, and able to lead Agile teams independently.<\/span>
<\/li>- Excellent communication and collaboration skills.
<\/span><\/li><\/ul>
<\/div>Preferred Qualifications <\/b>
<\/div>- Experience with test automation frameworks (Selenium, Playwright, Cypress).<\/span>
<\/li>- Exposure to MLOps practices for LLM deployment.
<\/li> - Knowledge of ISO 29119, ISTQB standards, or Agile Testing Quadrants.
<\/li> - Prior experience in BFSI, Insurance, Healthcare, or Retail domains.
<\/li><\/ul><\/span>
<\/div>
\u200b<\/b>
<\/div>
<\/div>
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.
<\/div>
<\/div>
<\/div>
<\/div>
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.
<\/div>
<\/div>
<\/div>
<\/div>
Key Responsibilities<\/b>
<\/div>
<\/div>
<\/b>
<\/div>
<\/div>
Full\-Stack Development<\/b>
<\/div>
<\/div>
- Design, develop, and maintain scalable web applications using Node.js, Java, and\nPython.<\/span>
<\/li>- Build and optimize APIs, microservices, and server\-side logic.<\/span>
<\/li>- Implement intuitive and responsive user interfaces using modern front\-end\nframeworks (e.g., Angular, React, or Vue).
<\/li><\/ul>Generative AI Integration<\/b>
<\/div>- Develop and integrate LLM\-powered features into enterprise QE workflows.<\/span>
<\/li>- Implement RAG architectures, vector databases (Pinecone, Weaviate, FAISS),\nand embeddings pipelines.<\/span>
<\/li>- Work with LangChain, LangGraph, and agentic AI frameworks to design\nintelligent automation flows.<\/span>
<\/li>- Explore MCP (Model Context Protocol) for context\-aware LLM integrations.
<\/span><\/li><\/ul>Cloud & DevOps<\/b>
<\/div>- Deploy and manage applications on AWS, Azure, or GCP.<\/span>
<\/li>- Work with containerization/orchestration tools (Docker, Kubernetes) to ensure\nscalability and reliability.<\/span>
<\/li>- Contribute to CI/CD pipelines for rapid development and deployment.
<\/span><\/li><\/ul>Innovation & Collaboration<\/b>
<\/div>- Stay ahead of emerging GenAI trends (e.g., LLM fine\-tuning, agent frameworks,\norchestration tools).<\/span><\/span>
<\/li>- Collaborate with Product Owners, AI engineers, and UI/UX teams to deliver\nseamless features.<\/span><\/span>
<\/li>- Mentor junior developers and actively contribute to Agile ceremonies.<\/span><\/span>
<\/li>- Drive self\-sustaining Agile squads, taking ownership of delivery outcomes.\nRequired Skills & Qualifications
<\/span><\/span><\/li><\/ul>Technical Expertise <\/b>
<\/div>- Proficiency in Node.js, Java, Python with full\-stack development experience.<\/span>
<\/li>- Hands\-on with LangChain, LangGraph, RAG, and vector databases.<\/span>
<\/li>- Familiarity with cloud platforms (AWS, Azure, GCP).<\/span>
<\/li>- Knowledge of microservices, REST/GraphQL APIs, and backend integration.\n\u2022 <\/span>
<\/li><\/ul>AI & GenAI Skills<\/b><\/span>
<\/div>- Practical exposure to LLM\-based application development.<\/span><\/span>
<\/li>- Understanding of MCP (Model Context Protocol).<\/span><\/span>
<\/li>- Experience with prompt engineering, embeddings, and agentic frameworks.
<\/span><\/span><\/li><\/ul>Professional Attributes <\/b>
<\/div>- 5+ years of relevant experience as a Full Stack Developer.<\/span>
<\/li>- Strong debugging, optimization, and architectural design skills.<\/span>
<\/li>- Self\-motivated, proactive, and able to lead Agile teams independently.<\/span>
<\/li>- Excellent communication and collaboration skills.
<\/span><\/li><\/ul>
<\/div>Preferred Qualifications <\/b>
<\/div>- Experience with test automation frameworks (Selenium, Playwright, Cypress).<\/span>
<\/li>- Exposure to MLOps practices for LLM deployment.
<\/li>- Knowledge of ISO 29119, ISTQB standards, or Agile Testing Quadrants.
<\/li>- Prior experience in BFSI, Insurance, Healthcare, or Retail domains.
<\/li><\/ul><\/span> - Exposure to MLOps practices for LLM deployment.
- Strong debugging, optimization, and architectural design skills.<\/span>
- Understanding of MCP (Model Context Protocol).<\/span><\/span>
- Hands\-on with LangChain, LangGraph, RAG, and vector databases.<\/span>
- Collaborate with Product Owners, AI engineers, and UI/UX teams to deliver\nseamless features.<\/span><\/span>
- Work with containerization/orchestration tools (Docker, Kubernetes) to ensure\nscalability and reliability.<\/span>
- Implement RAG architectures, vector databases (Pinecone, Weaviate, FAISS),\nand embeddings pipelines.<\/span>
- Build and optimize APIs, microservices, and server\-side logic.<\/span>