EY - GDS Consulting - AIA - Python Full stack AI Engineer - Senior at EY

Bidhannagar, Andhra Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

03 Oct, 26

Salary

0.0

Posted On

05 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, React.js, Angular, FastAPI, Flask, Django, REST APIs, GraphQL, SQL, NoSQL, Generative AI, RAG, LLM, LangChain, TypeScript, CI/CD

Industry

Professional Services

Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Career Family AIA – AI ENGINEER / RESEARCHER (LLM / SLM / DLM / RESPONSIBLE AI) Role Type Full Time The opportunity Join AI and Automation team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including Power and Utilities, Oil and Gas and Private Equity. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development. That’s how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well, this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. We are looking for a Python Full Stack Developer with 4+ years of hands on experience in building scalable, enterprise grade applications. The ideal candidate will have strong backend expertise in Python, solid frontend experience in React or Angular, and an interest or exposure to Generative AI and Agentic AI technologies. EY’s Artificial Intelligence & Automation (AIA) team is a specialized, intelligence driven business unit that combines advanced AI, automation engineering, and deep domain knowledge to deliver transformative enterprise solutions. The AIA practice partners with clients to analyze, design, and operationalize AI led automation strategies that accelerate digital transformation and unlock measurable business value. We address organizations’ most critical challenges across process optimization, intelligent workflows, data driven decisioning, Generative AI adoption, and automation-enabled innovation. With a unique ability to translate AI strategy into actionable architectures, scalable platforms, and production grade automations, EY’s AIA team helps clients build sustainable competitive advantage, enhance productivity, and navigate disruption by embedding intelligence at the core of their business and technology ecosystems. Your key responsibilities Design, develop, and maintain scalable backend services using Python Build responsive, high‑quality frontend applications using React or Angular Develop and consume RESTful / GraphQL APIs and integrate with backend services Implement clean, maintainable, and testable code following best practices Work with relational and/or NoSQL databases to design efficient data models Collaborate with cross‑functional teams (product, UX, data, cloud) for end‑to‑end delivery Participate in code reviews, performance tuning, and issue resolution Contribute to solution design and technical decision‑making (Good to have) Support AI/GenAI‑enabled features such as copilots, insights, or automation GenAI & Agentic AI Development Build production-grade applications using Large Language Models (GPT, Claude, LLaMA, Gemini), including prompt engineering, fine-tuning, and evaluation. Design and implement Retrieval-Augmented Generation (RAG) pipelines using Vector Databases, Knowledge Graphs, and hybrid retrieval strategies. Build multi-agent orchestration systems using frameworks such as LangGraph, AutoGen, CrewAI, or LlamaIndex, with memory management and tool integrations. Develop robust API layers, integration services, and data pipelines to connect AI capabilities with enterprise systems. Apply strong analytical thinking, structured problem-solving, and clear technical communication in solution design. Team Leadership & Collaboration Mentor and guide team members on AI/ML best practices, emerging GenAI technologies, and engineering standards through design discussions, code reviews, and knowledge sharing. Keep the team updated on the latest advancements in GenAI, Agentic AI, and related technologies to bring innovative solutions to engagements. Support all phases of delivery including sprints, testing cycles, deployments, and hypercare, ensuring timely delivery under tight timelines. Present solutions, architecture decisions, and results to both technical and business stakeholders with strong written and verbal communication. Required Skills Core Requirements 4+ years of professional experience in full stack development Strong proficiency in Python (e.g., FastAPI, Flask, Django) Hands on experience with React.js or Angular Solid understanding of JavaScript / TypeScript, HTML5, CSS3 Experience building and consuming REST APIs Working knowledge of SQL databases (PostgreSQL, MySQL, etc.) and/or NoSQL Familiarity with Git and modern CI/CD practices Good understanding of software design principles, performance, and security Good to Have Exposure to: Exposure to Generative AI (LLMs, RAG, prompt engineering, embeddings) Experience or awareness of Agentic AI / AI Agents / autonomous workflows Familiarity with AI frameworks (e.g., LangChain, Semantic Kernel, OpenAI / Azure OpenAI APIs) Experience deploying applications on cloud platforms (Azure / AWS / GCP) Knowledge of containerization (Docker) and orchestration basics Experience working in enterprise or consulting environments Preferred Qualifications Certifications in Azure AI (preferred), AWS Machine Learning, or GCP Professional ML Engineer. Published research, patents, or conference talks in AI/ML or NLP domains. Certifications or hands-on experience in MLOps, Kubernetes, or DevOps for AI. Education: Degree: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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Responsibilities

Design and develop scalable backend services using Python and responsive frontend applications using React or Angular. Implement AI-driven features including RAG pipelines and multi-agent orchestration systems to deliver enterprise automation solutions.