AI Developer

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Skills you'll use

What you'll do

• 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.

Who can apply

• Education & Experience: Bachelor's degree in computer science, AI, or a related STEM field, with 2–4 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.

Perks & benefits

About Flutter Entertainment

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