The Role
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.
Summary Generated by Built In
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.
Skills Required
- 5+ years of relevant experience as a Full Stack Developer
- Proficiency in Node.js, Java, and Python
- Full-stack development experience
- Hands-on experience with LangChain, LangGraph, RAG, and vector databases
- Familiarity with AWS, Azure, or GCP
- Knowledge of microservices, REST or GraphQL APIs, and backend integration
- Practical experience developing LLM-based applications
- Understanding of Model Context Protocol
- Experience with prompt engineering, embeddings, and agentic frameworks
- Strong debugging, optimization, and architectural design skills
- Ability to lead Agile teams independently
- Excellent communication and collaboration skills
- Experience with Selenium, Playwright, or 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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The Company
What We Do
Truviq Systems is a Hyderabad-based technology and IT services company that helps enterprises modernize operations through intelligent automation, AI-driven decisioning, workflow orchestration, and digital transformation. Its capabilities include BPM and Pega consulting, enterprise architecture, software solutions, robotic process automation, DevOps, mobile development, and healthcare workflow automation spanning prior authorization, claims and appeals, and care management for US and European markets.
