GenAI Developer

About the Role

At EY, the Government and Infrastructure practice provides consulting and audit services to Federal, State, Local, and Education clients. The opportunity is to help clients navigate modern AI, data, and analytics, providing a unique business perspective on how data science and analytics can transform organizations. This is a high-growth, high-visibility area with opportunities for skill enhancement and career building.

Key Responsibilities

• Designing and optimizing applications that leverage modern web frameworks and AI models.
• Supporting government clients with delivering the latest data science and big data technologies and practices.
• Designing, building, and maintaining scalable and robust solutions that unify, enrich, and analyze data from multiple sources.
• Implementing generative AI models.
• Working with AI/ML engineers.
• Developing web applications.
• Ensuring quality and product excellence.
• Designing, architecting, and developing solutions leveraging big data technology (Open Source, Hortonworks, AWS or Microsoft) to ingest, process, and analyze large, disparate data sets.
• Unifying, enriching, and analyzing customer data to derive new insights and opportunities.
• Leveraging in-house data platforms and recommending/building new data platforms/solutions.
• Clearly communicating findings, recommendations, and opportunities for improvement.
• Demonstrating and teaching data science concepts, tools, and approaches.
• Seeking out information on emerging methodologies and technologies.
• Clarifying problems to understand the true issue.
• Looking for opportunities to improve methods and outcomes.
• Applying a data-driven approach (KPIs) to tie technology solutions to business outcomes.
• Collaborating, influencing, and building consensus.
• Solving problems by incorporating data into decision making.

Requirements & Tech Stack

• Experience with JavaScript and frameworks like React, Next.js or similar.
• Experience with back-end development (Python, FastAPI or similar).
• Understanding of cloud platforms such as AWS, Azure, Vercel etc.
• Experience developing, maintaining, and improving web applications using modern frameworks (React, Next.js, Svelte, Vue, Remix/React Router, etc.).
• Understanding of generative AI models (OpenAI, Anthropic, open-source LLMs) in web-based products.
• Experience working with designers, product managers, and AI/ML engineers to create intelligent user experiences.
• Experience writing tests and participating in code reviews.
• Experience with modern web development (JavaScript/TypeScript etc.).
• Experience with backend development (Node.js, Python, FastAPI or similar).
• Familiarity with integrating generative AI models into applications (APIs or fine-tuned models).
• Familiarity with deploying applications on cloud platforms (AWS, Azure, Vercel, etc.).
• Understanding of statistical modeling, ETL, data ingestion/cleansing, and engineering skills.
• Hands-on experience with various big data technologies in one or more ecosystems (Hadoop, AWS or Microsoft).

Qualifications

• Bachelor’s degree.
• Eligibility to obtain and maintain a Secret Clearance.
• Must be comfortable working in-person as needed.
• Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines (Ideal).
• Experience with vector databases and AI inference optimizations (Ideal).
• Experience with open-source AI and web projects (Ideal).
• Experience with RAG or fine-tuning models (Ideal).
• Thorough business understanding of data science application and ability to communicate with key decision-makers (Ideal).
• Strong communication skills, including listening and developing clear insights (Essential).