Gen AI Developer Specialist
Job in
India, Henry County, Tennessee, USA
Listed on 2026-06-05
Listing for:
Hexaware Technologies, Inc
Full Time
position Listed on 2026-06-05
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
36565- JD/Skillset: AI Engineers
Note:
working knowledge on any one of the following AI tools - Github CoPilot, Factory, Cursor, 8090
Role Overview We are seeking an experienced AI Engineer to design, develop, and implement cutting-edge AI solutions, including Generative AI models, traditional algorithms, and advanced machine learning techniques. The ideal candidate will have strong expertise in Python, cloud technologies, and modern AI frameworks, with a focus on building scalable and production-ready AI applications.
Key Responsibilities Develop and implement Generative AI models, LLMs, and traditional AI algorithms. Design and build agentic AI solutions for autonomous workflows and intelligent decision-making. Utilise statistical models and data science techniques for analysis and insights. Build and maintain APIs using FastAPI for AI applications. Work with Azure components including Redis Cache, ADLS, Kubernetes, and Azure Functions. Manage and optimise vector databases, relational databases, and Mongo
DB. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Use Jupyter Notebook for experimentation and prototyping. Implement CI/CD pipelines and follow Dev Ops practices. Participate in code reviews to ensure quality and adherence to standards. Stay updated with emerging AI technologies and industry trends. Must-Have Skills 5+ years of experience in Python programming. Hands-on experience with Jupyter Notebook and AI development workflows.
Strong knowledge of Generative AI, LLMs, and traditional AI algorithms. Proven ability to design and develop agentic AI solutions.
Experience with FastAPI for API development. Familiarity with Azure services (Redis Cache, ADLS, Kubernetes, Azure Functions). Expertise in vector databases, relational databases, and Mongo
DB. Knowledge of CI/CD pipelines, Git, and Dev Ops practices.
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