Forward Deployed AI Engineer

• Assess project context and needs prior to AI rollout, identifying where AI practices, tools, or agentic solutions create measurable value
• Translate project and business needs into actionable AI adoption opportunities and drive them from initial assessment through implementation and operationalization
• Help delivery teams integrate AI practices into their existing SDLC across development, testing, QA, and operational workflows
• Facilitate workshops, onboarding, and enablement sessions with engineers and project stakeholders
• Implement or adapt reference solutions and accelerators
• Provide post-rollout support and resolve adoption or technical issues
• Measure adoption and collect feedback
• Feed lessons learned back into the AI R&D function and the AI SDLC
• Contribute reusable rollout playbooks, patterns, documentation, and guidance
• Operate across PO, PM, engineering, QA, and operational concerns as required by the rollout context
• Avoid becoming a permanent dependency for the project team

• Strong software engineering fundamentals and software delivery lifecycle experience, including architecture, APIs, testing, delivery practices, maintainability, and production software
• Ability to quickly understand unfamiliar systems and transfer principles across languages and stacks
• Hands-on experience with AI-assisted software development (AI SDLC)
• Proven ability to understand and extract business and engineering requirements
• Consulting mindset, including stakeholder interviewing, challenging assumptions, and proposing pragmatic solutions
• Hands-on experience with AI agents and agentic workflows
• Experience with LLM APIs and model integration
• Experience with CI/CD and modern software delivery practices
• Practical understanding of evaluation and testing of AI systems
• Strong software quality and engineering practices
• Production support and troubleshooting experience
• Awareness of security, privacy, and responsible AI considerations
• Experience with observability and monitoring
• Strong communication skills across technical and non-technical audiences
• Comfort with frequent context switching
• High ownership and autonomy
• Ability to operate with ambiguity
• Nice to have: LLM-based application development
• Nice to have: Retrieval-Augmented Generation (RAG)
• Nice to have: Tool/function calling and protocols such as MCP
• Nice to have: API design and integration
• Nice to have: Data pipelines and data management
• Nice to have: Containers and cloud-native development
• Nice to have: Experience with AI coding assistants and AI-enabled development workflows
• Nice to have: Experience with Python, JavaScript/TypeScript, Java, .NET, or similar

• Medical benefits
• Gym support
• Personalised fitness options
• Team events
• Healthy Habits Club
• Flexible work-life dynamic
• Mental wellbeing support
• Social wellbeing initiatives
• Hybrid environment