Generative AI Engineer
Key Skills for This Role
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About QualiZeal
QualiZeal, headquartered in Texas, USA, is a leading provider of AI-powered Quality Engineering services worldwide.
Services include Quality Engineering, Digital Engineering, Advisory and Transformation, and Emerging Technology Testing.
Trusted by over 70 global enterprises and employing more than 850 elite software quality engineers.
Recognized as the Fastest Growing Digital Quality Engineering Services Company in North America (2022 Global Choice Awards) and Tech Startup of the Year (2024 American Business Awards).
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.
- Work on RAG pipelines, vector databases, prompt engineering, and context-aware workflows.
- 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 Gen 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.
- Good understanding of RAG, embeddings, and vector databases.
- Professional Experience: A minimum of 5 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.
Preferred Qualifications
- Prior experience working on Generative AI projects.
- Exposure to MLOps practices for AI model deployment and monitoring.
- Familiarity with natural language processing (NLP) concepts and tools.
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