AI Engineering Lead

AI Engineering Lead

ABOUT FLUTTER ENTERTAINMENT 

Flutter Entertainment is the world’s largest sports betting and iGaming operator with 15.9 million Average Monthly Players worldwide and an annual revenue of $16.4 billion in 2025. We have a portfolio of iconic brands, including FanDuel, Paddy Power, Betfair, PokerStars, Sisal, and Sportsbet.​ 

​ 

Flutter Entertainment is listed on the New York Stock Exchange (NYSE). We’re proud to be recognized by TIME as one of the World’s Best Companies 2025 — a reflection of the passion and commitment of our colleagues across the globe.​ 

FLUTTER ENTERTAINMENT INDIA 

Our office in the heart of Hi-Tech City, Hyderabad, serves as Flutter Entertainment’s Global Capability Center (GCC). Now home to 1,000+ talented colleagues, we are shaping the future of entertainment across critical areas such as Customer Support Operations, Data & Technology, Business Operations (Finance, HR, Procurement), and HR Tech & Analytics.​ 

​ 

Our Values define us. They are - Build Better Together, Own Every Outcome, Stay Curious and Grow, and Raise the Bar Every day. ​ 
They're how we collaborate, grow, lead, and show up for each other every single day. ​ 

​ 
OVERVIEW OF THE ROLE  

Flutter Functions' AI & Automation team is looking for an expert AI Engineering Lead to build and lead a unit of 2–3 AI developers. You will be responsible for the technical vision and execution of Flutter's enterprise AI assistant and agent platforms, using internal data to enhance productivity and decision-making across our global sports betting and gaming operations.

This is a hands-on technical leadership role combining AI engineering, architecture, people leadership and cross-functional teamwork. You will shape engineering standards, make key architectural decisions, mentor your team, and help deliver production-grade AI systems serving over 20 million customers across 20+ regulated markets.

WHAT YOU WILL DO

Technical Leadership & Architecture

• Set the technical direction for our enterprise AI assistant and agent platforms, making architectural decisions across LLM inference, agentic frameworks, context engineering, guardrails and system design.
• Own the selection, deployment and optimisation of LLM inference systems including AWS Bedrock and LiteLLM, with a focus on model routing, cost, latency and operational excellence.
• Design production-grade context pipelines, RAG systems and prompt architectures, establishing patterns, standards and evaluation practices for the team.
• Guide architectural decisions around token economics, context limits, latency budgets and capability-to-cost trade-offs.
• Establish robust guardrails, security and Responsible AI practices, addressing prompt injection, data leakage, authentication, access control and sensitive data handling across regulated markets.
• Make informed technology choices across agentic frameworks such as LangChain, LangGraph, Strands and ADK, and establish scalable orchestration and tool-use patterns.
• Own problems end-to-end, from LLM integration and backend services through to user-facing interfaces, APIs and integrations using AWS services, MCP and modern engineering standards.

People Leadership

• Build, lead and mentor a pod of 2–3 AI developers, supporting their technical and career growth.
• Establish engineering standards through code reviews, architectural guidance and continuous technical development.
• Lead the team through production incidents, complex technical challenges and post-mortems, driving systemic improvements.
• Develop a culture of learning, experimentation, psychological safety and continuous improvement, while encouraging the team to challenge assumptions and take calculated technical risks.

Collaboration & Delivery

• Partner with product managers and business stakeholders to translate business requirements into scalable technical solutions and prioritise high-impact work.
• Collaborate with data scientists and platform engineering teams to integrate AI solutions into Flutter's existing infrastructure.
• Communicate complex AI concepts clearly to technical and non-technical audiences, present architectural decisions to leadership, and influence technical direction across teams.

TO EXCEL IN THIS ROLE, YOU WILL NEED  

Core Requirements

• Bachelor's degree in Computer Science, AI or a related STEM field, with 8–12 years of software development experience, including 2–3+ years focused on AI/ML or agentic systems development.
• Experience leading or mentoring technical teams, with the ability to establish technical direction and drive delivery through others.
• Advanced Python and backend engineering skills, including production experience with FastAPI, Flask and async patterns.
• Hands-on expertise with AWS Bedrock, LiteLLM or similar LLM inference platforms, including model routing, API design, cost optimisation and production deployment.
• Strong experience in context engineering, RAG and prompt architecture, and ability to evaluate trade-offs and design production-grade solutions.
• Deep experience with 2–3+ agentic frameworks, such as LangChain, LangGraph, Strands, ADK or CrewAI, including orchestration, tool use and multi-agent patterns.
• Experience designing and implementing guardrails, content filtering and Responsible AI practices in production environments.
• Strong AI security fundamentals, including prompt injection, data exfiltration, model misuse, OAuth, JWT and least-privilege design.
• Proficiency with AI coding tools such as Claude Code, GitHub Copilot or OpenCode, and ability to validate AI-generated code and guide others in their use.
• Expert knowledge of software engineering fundamentals, including SDLC, Git, API design, system architecture and collaborative engineering.
• Exceptional communication and influencing skills - ability to explain complex technical concepts to technical and non-technical audiences and build consensus without relying on formal authority.

Highly Desirable Skills

• Full-stack experience across React, TypeScript, backend services and AI integration.
• Hands-on experience designing and operating production RAG systems and vector databases, including Pinecone, pgvector, OpenSearch or Weaviate.
• Experience with Model Context Protocol (MCP) and its implementation in AI agent systems.
• Contributions to AI/ML or agentic open-source frameworks such as LangChain or CrewAI.
• Experience in gaming, sports betting, financial services or other heavily regulated environments.
• A track record of growing engineers, building high-performing teams or leading technical initiatives that delivered material business impact.
• Demonstrated curiosity and thought leadership in AI, with an appetite for emerging technologies and the ability to form and defend informed technology choices.

BENEFITS WE OFFER 

• Access to Learnerbly, Udemy, and a Self-Development Fund for upskilling. 

• Career growth through Internal Mobility Programs. 

• Comprehensive Health Insurance for you and dependents. 

• Coverage of OPD Consultations and Full Body health checkup every year. 

• Well-Being Fund and 24/7 Assistance Program for holistic wellness. 

• Hybrid Model: 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals. 

• Free Meals, Cab Allowance, and a Home Office Setup Allowance. 

• Employer PF Contribution, gratuity, Personal Accident & Life Insurance. 

• Sharesave Plan to purchase discounted company shares. 

• Volunteering Leave and Team Events to build connections. 

• Recognition through the Kudos Platform and Referral Rewards. 

WHY CHOOSE US 

Flutter is an Equal Opportunity Employer and values the unique perspectives and experiences that everyone brings. We are committed to a fair and inclusive recruitment process where every candidate has an equal opportunity to succeed, with hiring decisions based on skills, experience and potential.​ 

We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India.​ 
​ 
If you're passionate about this opportunity but don't meet every requirement, we still encourage you to apply. Your skills, experiences, and perspective could make you a great fit for our team.