Flutter Entertainment→
AI Developer at Flutter Entertainment in Hyderabad, Telangana, India
Job Description
AI Developer
Location: Hyderabad, India
AI Developer
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.
Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed.
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.
With ambitious growth plans for the future and the global and local scale to achieve them, we continue to serve our customers and care for our communities with the talent and passion of our colleagues.
OVERVIEW OF THE ROLE
Flutter Functions' AI & Automation team is seeking a talented and curious AI Developer to join our mission of building next-generation enterprise AI solutions that transform how our global workforce operates. You'll play a central role in developing and evolving Flutter's enterprise AI assistant and agent platforms — intelligent systems that leverage our vast internal data assets to enhance productivity and decision-making across our sports betting and gaming operations.
As part of an industry-leading team, you'll contribute to intelligent solutions that serve over 20 million customers across 20+ regulated markets, working in a hybrid environment that blends the flexibility of remote work with collaboration in our modern Hyderabad offices.
What You'll Do
Enterprise AI Platform Development: Design, build, and evolve Flutter's enterprise AI assistant and multi-agent platforms, creating intelligent systems that integrate seamlessly with internal applications, data sources, and workflows across the organisation.
LLM Inference & Integration: Work hands-on with LLM inference systems — including LiteLLM and AWS Bedrock — to build responsive, scalable, and cost-efficient AI applications, navigating model selection, routing, and deployment trade-offs.
Context Engineering & Prompt Architecture: Go beyond basic prompt engineering to architect sophisticated context pipelines — designing retrieval strategies, memory systems, and context windows that maximise model performance within real-world constraints.
Model Tokenomics & Performance Trade-offs: Apply a deep understanding of token economics — balancing latency, cost, context length, and model capability to make informed architectural decisions across production AI systems.
Guardrails & Safety Systems: Implement robust model constraint and guardrail frameworks to ensure AI outputs are safe, compliant, and aligned with Flutter's Responsible AI Policy and regulatory obligations across 20+ markets.
Agentic AI Development: Build and deploy sophisticated agent architectures using frameworks such as LangChain, LangGraph, Strands, ADK (Agent Development Kit), and similar tools — creating multi-step reasoning systems, tool-using agents, and orchestration layers that solve complex enterprise problems.
Full-Stack AI Solutions: Deliver end-to-end AI applications, owning the problem from model integration through backend services to user-facing interfaces — demonstrating the ability to work across the full stack when the problem demands it.
API & Integration Development: Design and implement integrations using AWS services (Bedrock, Lambda, API Gateway) and modern protocols including Model Context Protocol (MCP) and REST/streaming APIs.
Security-First Development: Bring a security-oriented mindset to all AI development — considering prompt injection risks, data leakage vectors, authentication flows (OAuth, JWT), access control, and safe handling of sensitive enterprise data from the ground up.
AI-Augmented Engineering Practices: Embrace and champion agentic development practices, using tools such as Claude Code, OpenCode, GitHub Copilot, and similar AI coding assistants to accelerate delivery, improve code quality, and explore new approaches to software development.
Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams across Flutter's global organisation to deliver AI solutions that drive measurable business impact.
What You'll Need
Education & Experience: Bachelor's degree in computer science, AI, or a related STEM field, with 1–3 years of hands-on AI/ML or software development experience.
Core Python Skills: Solid Python proficiency, including experience with frameworks such as FastAPI or Flask, async programming patterns, and clean, maintainable code practices.
LLM Inference Systems: Practical experience working with LLM inference platforms — particularly AWS Bedrock and/or LiteLLM — including model routing, API integration, and managing inference at scale.
Context Engineering: Demonstrated understanding of context window management, retrieval-augmented generation (RAG), prompt structuring, and the trade-offs involved in designing effective context pipelines.
Model Tokenomics Awareness: Ability to reason about token costs, latency, context limits, and model capability differences when making architectural and design decisions.
Agentic AI Frameworks: Working knowledge of at least one agent framework such as LangChain, LangGraph, Strands, or Google ADK, with an understanding of agent orchestration patterns, tool use, and multi-agent coordination.
Guardrails & Responsible AI: Familiarity with model constraint mechanisms, content filtering, guardrail systems, and responsible AI principles as applied in production environments.
Security-Oriented Mindset: Genuine awareness of AI-specific security risks — including prompt injection, data exfiltration, and misuse vectors — alongside standard software security practices (OAuth, JWT, least-privilege design).
AI-Augmented Development: Comfortable using AI coding tools (e.g. Claude Code, GitHub Copilot, OpenCode) as genuine productivity multipliers, not just as novelties — with an understanding of how to validate and own AI-generated code.
Development Fundamentals: Solid understanding of the software development lifecycle, version control with Git, API design principles, and collaborative engineering workflows.
Communication Skills: Able to work effectively in cross-functional teams and articulate complex technical concepts clearly to both technical and non-technical stakeholders.
Highly Desirable Skills
Full-Stack Experience: Demonstrated ability to work across the full stack — experience with React, TypeScript, and modern frontend patterns alongside backend and AI integration work, with examples of end-to-end problem ownership.
Advanced Agent Frameworks: Deeper experience across multiple agentic frameworks (LangChain, LangGraph, Strands, ADK, CrewAI) and an understanding of the architectural trade-offs between them.
Vector Databases & RAG Systems: Experience designing and implementing retrieval systems using vector databases (e.g. Pinecone, pgvector, OpenSearch) as part of production RAG architectures.
Model Context Protocol (MCP): Understanding of MCP and its role in standardising tool and context integration across modern AI agent systems.
Regulated Environment Experience: Familiarity with the gaming, sports betting, or financial services industry, or prior experience working within regulated technology environments where compliance and safety are non-negotiable.
Curiosity & Adaptability: A genuine appetite for staying at the leading edge of AI development — comfortable with rapid technological change, eager to explore emerging tools and frameworks, and able to form and share informed opinions on where the field is heading.
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 AssistanceProgram 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 OfficeSetup 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.