AI Engineer

• Design, build, and maintain AI-driven applications and services, including front-end and back-end components.

• Collaborate across teams to integrate AI features into customer-facing and internal products.

GenAI & Voice AI Integration

• Implement cutting-edge frameworks (e.g., LangChain, LlamaIndex, Agent SDKs) to enable advanced GenAI and multimodal use cases.

• Develop voice-enabled features using STT, TTS, and real-time voice synthesis for conversational interfaces.

Agentic AI & A2A Protocols

• Design and deploy agentic AI systems with tool-using, multi-step reasoning capabilities.

• Enable agent-to-agent (A2A) interactions for coordination, delegation, and multi-agent task execution across systems.

• Build and maintain retrieval-augmented generation (RAG) pipelines and model fine-tuning workflows.

• Establish robust LLMOps practices—covering versioning, prompt management, automated evaluations, monitoring, and CI/CD for AI.

• Develop secure, scalable RESTful APIs and data pipelines to support both real-time and batch AI applications.

• Work with structured and unstructured data using relational and NoSQL databases.

• Write unit/integration tests, monitor production performance, and optimize AI systems for latency, uptime, and scalability.

• Work closely with product managers, designers, and engineers across regions (e.g. UK, EU, USA, AU).

• Mentor junior engineers and help define AI development best practices.

• 5+ years of experience in machine learning, NLP, or applied AI

• Proven experience with LLMs (OpenAI, Claude, Mistral, open-source models), vector databases, and orchestration frameworks

• Demonstrated ability to build RAG systems, fine-tune foundation models, and design agentic AI architectures

• Hands-on experience with A2A, MPC protocols or frameworks for multi-agent collaboration

• Strong Python development skills and back-end experience building scalable APIs and microservices

• Deep understanding of LLMOps: versioning, evaluation frameworks, model observability, CI/CD for AI/ML

• Experience with cloud platforms (AWS, GCP, or Azure) and secure, distributed AI infrastructure

• Familiarity with Voice AI technologies (Whisper, Deepgram, ElevenLabs) is a strong plus

• Background in experimentation frameworks (A/B testing, reinforcement learning)

• Strong communication and collaboration skills in cross-cultural, distributed environments

Why choose us

At Flutter CEE, people have access to vast opportunities for career growth and self-development. Our employee benefits package goes far beyond offering the minimum: We support our people in becoming their best version at work and beyond - and our benefits reflect that commitment.

These are some of the benefits included in our employee package:

• Generous annual leave

• Hybrid work

• Individual health insurance

• Paid sick leave

• Paid maternity & paternity leave

• Family reward

• Performance & referral bonuses