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AI Developer

Flutter Entertainment
Hyderabad, IND
Mid · 3–4 years experience
Onsite
Discovered 3 weeks ago
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Full Job Posting

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 3–4 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.
  • 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.

Qualifications

  • Bachelor's degree in Computer Science, AI, or a related STEM field, with 3–4 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.
  • 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 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.

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