Full Stack Developer [Java + Gen AI]

Truviq; Hyderabad; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Truviq seeks an Experienced Full Stack Developer (GenAI) to design, build, and scale GenAI-enabled applications with 5+ years of experience in Node.js, Java, and Python.

You will work on RAG pipelines, MCP, LangChain and LangGraph integrations, vector databases, and cloud deployments (AWS/Azure/GCP). Join an agile, high‑velocity team and mentor junior developers to deliver enterprise-grade QE solutions.

Qualifications

• 5+ years of experience as a Full Stack Developer.
• Strong hands-on in Node.js, Java, Python with GenAI focus.
• Experience integrating LLM-based features and AI workflows.
• Familiarity with modern front-end frameworks (Angular, React, Vue).
• Ability to work in Agile teams and mentor juniors.

Responsibilities

• Design, develop, and maintain scalable web applications using Node.js, Java, and Python.
• Build and optimize APIs, microservices, and server-side logic.
• Implement intuitive UIs using modern front-end frameworks.
• Develop and integrate LLM-powered features into QE workflows.
• Deploy and manage apps on cloud platforms and orchestrate with Docker/Kubernetes.

Skills

Node.js

Java

Python

GenAI development

Agile leadership

Debugging

Tools

LangChain

LangGraph

Pinecone

Weaviate

FAISS

Docker

Kubernetes

Job description

Job Description: Experienced Full Stack Developer (GenAI)

Position: Full Stack Developer (GenAI Applications)

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 problem‑solving 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.
• 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.
• 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.

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.