On-Site
Full-Time
Hyderabad, Telangana
India
Skills
Java
Full-Stack Development
GraphQL
RESTful WebServices
Attention to Detail
Server Side
Cloud Services
Technical Proficiency
AIML
About the Role
About QualiZeal:
QualiZeal is North America's Fastest-growing Independent Digital Quality Engineering Services company with a global headcount of 800+ Software Quality and Development Engineers. Trusted by 40+ global enterprises, QualiZeal has delivered over 200 successful projects—in the areas of Quality Engineering, Digital Engineering, Advisory and Transformation, and Emerging Technology Testing—earning an industry-leading client NPS score of 85. Founded on principles of delivery excellence, service orientation and customer delight, we are a fast-paced, culture-driven organization on a high-growth trajectory.
Recognitions:
· Great Place to Work Certified (2023,2024)
· Major Contender in Quality Engineering by Everest Group (2023)
· Economic Times Excellence Award (2023)
· The Global Choice Award (2022)
· NASSCOM Member
· ISO 13485:2016 and ISO 9001:2015
· Glassdoor Rating: 4.7
Job Overview
As a Full Stack Developer focused on Generative AI, you will design, develop, and deploy scalable applications for quality engineering. You will work with cutting-edge AI technologies, integrating large language models (LLMs) into custom solutions. This role requires expertise in both frontend and backend development, as well as a strong understanding of AI workflows.
Key Responsibilities
Application Development: Design, develop, and deploy scalable full-stack applications focused on Generative AI use cases for quality engineering.
AI Integration: Implement AI workflows using frameworks like LangChain and LangGraph, integrating large language models (LLMs) into custom solutions.
Frontend Development: Build intuitive and responsive user interfaces using Angular and TypeScript.
Backend Development: Develop robust APIs and server-side logic using Node.js.
Collaboration: Work closely with AI engineers, product managers, and UX/UI designers to deliver high-quality, user-centric applications.
Code Optimization: Ensure code quality, performance, and security for all developed modules.
Innovation: Explore and implement new tools, frameworks, and methodologies in the Generative AI space to enhance application capabilities.
Required Skills & Qualifications
Technical Proficiency:
Strong experience in TypeScript, Angular, and Node.js.
Hands-on experience with LangChain and LangGraph for Generative AI applications.
Experience working with LLMs and AI-related libraries and APIs.
Professional Experience:
A minimum of 3 years of experience as a Full Stack Developer or similar role.
Proven track record of building and deploying scalable web applications.
Additional Skills:
Strong understanding of RESTful and GraphQL APIs.
Experience with database management systems (e.g., PostgreSQL, MongoDB).
Familiarity with cloud services (e.g., AWS, Azure, or Google Cloud).
Knowledge of containerization tools like Docker is a plus.
Soft Skills:
Excellent problem-solving skills and attention to detail.
Strong verbal and written communication skills.
Ability to work collaboratively in an Agile/Scrum environment.
QualiZeal is North America's Fastest-growing Independent Digital Quality Engineering Services company with a global headcount of 800+ Software Quality and Development Engineers. Trusted by 40+ global enterprises, QualiZeal has delivered over 200 successful projects—in the areas of Quality Engineering, Digital Engineering, Advisory and Transformation, and Emerging Technology Testing—earning an industry-leading client NPS score of 85. Founded on principles of delivery excellence, service orientation and customer delight, we are a fast-paced, culture-driven organization on a high-growth trajectory.
Recognitions:
· Great Place to Work Certified (2023,2024)
· Major Contender in Quality Engineering by Everest Group (2023)
· Economic Times Excellence Award (2023)
· The Global Choice Award (2022)
· NASSCOM Member
· ISO 13485:2016 and ISO 9001:2015
· Glassdoor Rating: 4.7
Job Overview
As a Full Stack Developer focused on Generative AI, you will design, develop, and deploy scalable applications for quality engineering. You will work with cutting-edge AI technologies, integrating large language models (LLMs) into custom solutions. This role requires expertise in both frontend and backend development, as well as a strong understanding of AI workflows.
Key Responsibilities
Application Development: Design, develop, and deploy scalable full-stack applications focused on Generative AI use cases for quality engineering.
AI Integration: Implement AI workflows using frameworks like LangChain and LangGraph, integrating large language models (LLMs) into custom solutions.
Frontend Development: Build intuitive and responsive user interfaces using Angular and TypeScript.
Backend Development: Develop robust APIs and server-side logic using Node.js.
Collaboration: Work closely with AI engineers, product managers, and UX/UI designers to deliver high-quality, user-centric applications.
Code Optimization: Ensure code quality, performance, and security for all developed modules.
Innovation: Explore and implement new tools, frameworks, and methodologies in the Generative AI space to enhance application capabilities.
Required Skills & Qualifications
Technical Proficiency:
Strong experience in TypeScript, Angular, and Node.js.
Hands-on experience with LangChain and LangGraph for Generative AI applications.
Experience working with LLMs and AI-related libraries and APIs.
Professional Experience:
A minimum of 3 years of experience as a Full Stack Developer or similar role.
Proven track record of building and deploying scalable web applications.
Additional Skills:
Strong understanding of RESTful and GraphQL APIs.
Experience with database management systems (e.g., PostgreSQL, MongoDB).
Familiarity with cloud services (e.g., AWS, Azure, or Google Cloud).
Knowledge of containerization tools like Docker is a plus.
Soft Skills:
Excellent problem-solving skills and attention to detail.
Strong verbal and written communication skills.
Ability to work collaboratively in an Agile/Scrum environment.