AI Engineering Lead

About this role

Not quite right? These jobs in Hyderabad match the same skills — apply to a few to improve your chances.

Specialist, Software Engineer (DevOps, Harness, JFrog Artifactory, UCD, Jenkins, AWS, GitHub, GitHub Actions & GitHub Copilot)

Nationwide

In OfficeHyderabad

Apply

Lead Software engineer - Java, React & AWS

DTCC

In OfficeHyderabad

Apply

Senior Specialist, Platform Analytics AI ( Python and AWS)

Novartis

In OfficeHyderabad

Apply

Fund Services. Senior IR Administrator

Citco India

In OfficeHyderabad

Apply

Skills you'll use

What you'll do

• Flutter Functions' AI & Automation team is seeking an experienced you to build and lead a high-performing pod of 2–3 AI developers. You'll own the technical vision and execution of 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 at global scale.
• As an AI Engineering Lead, you'll combine deep technical expertise with strong people leadership, mentoring a talented team while driving the architectural decisions, technical standards, and engineering practices that power next-generation AI solutions. You'll have direct impact on both the platform's capabilities and the growth trajectory of your team members.
• Working in a hybrid environment that blends remote flexibility with collaboration in our modern Hyderabad offices, you'll partner with product leaders and cross-functional stakeholders to translate ambitious AI initiatives into production-grade systems serving over 20 million customers across 20+ regulated markets.

Who can apply

• Education & Experience: Bachelor's degree in Computer Science, AI, or a related STEM field, with 5+ years of software development experience, of which 2–3+ years focused on AI/ML or agentic systems development.
• Proven Leadership: Demonstrated experience leading or mentoring technical teams (even informally) — showing ability to grow people, establish technical direction, and drive delivery through others.
• Deep Python & Backend Expertise: Advanced Python proficiency with experience in production frameworks (FastAPI, Flask), async patterns, and the ability to architect scalable backend systems.
• LLM Inference Systems Mastery: Hands-on expertise with AWS Bedrock, LiteLLM, and similar inference platforms — deep understanding of model routing, API design, cost optimization, and deployment patterns at production scale.
• Context Engineering & RAG Expertise: Demonstrated ability to design and evaluate sophisticated context pipelines, retrieval-augmented generation systems, and prompt architectures — with understanding of trade-offs and best practices.
• Model Tokenomics & Architectural Trade-offs: Strong ability to reason about token economics, latency budgets, context limits, and capability-to-cost ratios when making architectural decisions — mentoring others to think this way.
• Agentic Framework Proficiency: Deep experience with at least 2–3 agent frameworks (LangChain, LangGraph, Strands, ADK, CrewAI) — understanding of orchestration patterns, tool-use design, multi-agent coordination, and when to use which patterns.
• Guardrails & Responsible AI: Substantial experience with model constraint mechanisms, content filtering, guardrail systems, and responsible AI principles in production environments — able to architect these at scale.
• Security-Oriented Mindset: Strong security fundamentals applied specifically to AI — understanding prompt injection, data exfiltration, model misuse vectors, and standard patterns (OAuth, JWT, least-privilege design).
• AI-Augmented Development Practices: Proficient using AI coding tools (Claude Code, GitHub Copilot, OpenCode) as genuine productivity multipliers — able to validate AI-generated code and teach others to do the same.

Perks & benefits

About Flutter Entertainment

Searching for “Flutter Entertainment jobs” or “jobs at Flutter Entertainment”? You’re in the right place.