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