AI Engineering Manager – Flutter

Betfair Romania Development

AI Engineering Manager leading a diverse engineering team to develop core AI platform services for Flutter UK. Focusing on delivering enterprise-grade AI capabilities and fostering a culture of excellence.

Posted 5/29/2026full-timeCluj-Napoca • 🇷🇴 RomaniaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDynamoDBMicroservices

About the role

Key responsibilities & impact

Build, lead, and develop a cross-functional engineering team (backend / full stack)
Set engineering standards, patterns, and ways of working aligned to platform-first principles
Drive a culture of ownership, quality, and continuous improvement
Lead the design and delivery of core AI platform services (APIs, orchestration layers, integration services)
Contribute to the development of a multi-tenant AI control plane with built-in governance, security, and observability
Ensure solutions are scalable, reusable, and aligned to enterprise architecture standards
Provide hands-on guidance across system design, architecture, and implementation
Partner with Architecture, Security, and Platform teams to ensure alignment with AWS best practices (incl. Bedrock and cloud-native services)
Support design reviews and contribute to Technical Design Authority (TDA) processes
Enable the team to build AI-powered services, including LLM integrations, agent frameworks, and retrieval-based systems
Ensure responsible AI practices are embedded (guardrails, auditability, data controls)
Work closely with Product, Business Analysis, and Engagement teams to translate use cases into deliverable outcomes
Support iterative MVP delivery, balancing speed with long-term platform integrity
Collaborate across UK&I and International teams to drive consistency and reuse

Requirements

What you’ll need

Strong experience as a senior or lead engineer in backend or full stack development
Proven experience leading engineering teams and delivering complex distributed systems
Experience building cloud-native applications on AWS (e.g. Lambda, API Gateway, ECS, DynamoDB, etc.)
Strong understanding of system design, APIs, and microservices architecture
Experience working in agile environments with modern engineering practices
Experience working with AI/ML systems or integrating with LLMs (e.g. Amazon Bedrock or similar)
Knowledge of multi-tenant architectures and platform engineering concepts
Experience with observability, security, and governance in enterprise systems
Familiarity with event-driven architectures and data pipelines

Benefits

Comp & perks

Hybrid & remote working options
€1,000 per year for self-development
Company share scheme
25 days of annual leave per year
20 days per year to work abroad
5 personal days/year
Flexible benefits: travel, sports, hobbies
Extended health, dental and travel insurances
Customized well-being programmes
Career growth sessions
Thousands of online courses through Udemy
A variety of engaging office events

ATS Keywords

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Hard Skills & Tools

backend developmentfull stack developmentcloud-native applicationssystem designAPIsmicroservices architectureAI/ML systemsmulti-tenant architecturesevent-driven architecturesdata pipelines

Soft Skills

leadershipteam collaborationcommunicationownershipquality assurancecontinuous improvementproblem-solvingagile methodologiescross-functional teamworkstakeholder engagement