AI Developer

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.

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.

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.