Generative AI Full Stack Developer

What Working at Hexaware offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance.

With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware s commitment towards creating smiles.

At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.

We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion the driving force that makes one smile and innovate, create, and make a difference every day.

The Hexaware Advantage: Your Workplace Benefits

• Excellent Health benefits with low-cost employee premium.
• Wide range of voluntary benefits such as Legal, Identity theft and Critical Care Coverage
• Unlimited training and upskilling opportunities through Udemy and Hexavarsity

Role: Full Stack Developer with Generative AI

Location: Mount Laurel, NJ

Duration: Fulltime with Hexaware

Experience: 12+ years

Key Responsibilities:

• Design, develop, and maintain Python-based applications and backend services.
• Develop and integrate Generative AI solutions using OpenAI APIs and Azure OpenAI Service.
• Develop responsive and user-friendly front-end applications using React.js.
• Integrate React.js applications with REST APIs and backend services.
• Implement AI-driven features using prompt engineering, embeddings, vector search, and Retrieval-Augmented Generation (RAG).
• Build and maintain APIs and application integrations with third-party services.
• Develop and deploy cloud-native solutions on Microsoft Azure.
• Work with Azure services including: o Azure OpenAI Service o Azure AI Services o Azure Web Apps o Azure Blob Storage o Azure Key Vault o Azure SQL Database o Azure Monitor / Application Insights o Azure Document Intelligence
• Write clean, maintainable, and reusable code following software engineering best practices.
• Perform unit testing, debugging, profiling, and performance tuning.
• Participate in code reviews and contribute to technical design discussions.
• Collaborate with cross-functional teams including product, architecture, QA, and business stakeholders.
• Support deployment activities, application monitoring, incident triage, and production issue resolution.
• Stay informed about evolving trends in Generative AI and Azure technologies.

Required Qualifications:

• Bachelor s degree in Computer Science, IT or related field.
• Experience developing front-end applications using React.js, JavaScript, HTML, and CSS.
• Experience developing REST APIs using frameworks such as FastAPI, Flask, or Django.
• Hands-on experience with OpenAI API integration and/or Azure OpenAI Service, including Large Language Models (LLMs),Prompt engineering, Embeddings, Vector search concepts, Retrieval-Augmented Generation (RAG),Model interaction patterns and response validation
• Practical experience with Microsoft Azure services.
• Understanding of JSON, REST APIs, authentication, and service integrations.
• Proficiency in SQL and database interaction concepts.
• Familiarity with version control tools such as Git.
• Exposure to Azure DevOps, CI/CD pipelines, and automation tools.
• Ability to debug application issues and implement secure, scalable solutions.
• Understanding of Docker and container-based deployment. Experience with deployment automation and monitoring in cloud environments.
• Strong communication, time management, and analytical skills.

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