Role overview
Reward Gateway is culture and client driven. We’re obsessed with putting the “Human” in HR and are proud to have been 100% dedicated to HR for over a decade. Since 2007, we’ve been right by the side of the world’s most innovative HR people, giving them beautiful products and tools they can use to attract, engage and retain their people.
The world’s most successful companies treat their people differently. They generate stock market returns of twice their peers and they have half the employee turnover. 76% of CEOs recognize that employee engagement is vital to their success but only 24% say they have a highly engaged company. **Bridging that engagement gap is what drives us.
What you'll work on
- Architect, build, and ship production-grade AI / Generative AI products using LLMs, RAG, agents, strong context strategies, and responsible guardrails.
- Lead a small team (initially 2 AI engineers) and scale it; partner with Product using a working backwards mindset; set objectives, run Agile/Scrum, coach, and make fast, high-quality decisions.
- Drive 10x productivity with AI agents and AI coding assistants while maintaining high standards for code quality, testing, reviews, and observability, taking full ownership of AI outcomes.
- Evolve POCs into measurable solutions with clear metrics, A/B tests, online evaluation, and lightweight models.
- Own end-to-end workflows: data pipelines, evaluation and benchmarking, instrumentation, human-in-the-loop validation, and compliance.
- Operate on AWS and Kubernetes with CI/CD, infrastructure as code, monitoring, performance, and cost control.
- Make pragmatic choices, including LLMs, prompting vs fine-tuning, embeddings and vector search, hybrid search; ensure privacy, PII protection, and enterprise controls.
What we're looking for
- Hands‑on leader who has built and shipped production AI and full‑stack systems.
- Python first; testing and CI/CD; fluent with AI coding assistants (Cursor, Copilot, Claude Code) and accountable for outcomes
- Applied LLMs: Claude or similar; RAG, agents, prompt engineering; embeddings + vector DBs; hybrid search; evaluation/benchmarking
- Data engineering: ETL; SQL/NoSQL design; data sourcing/ingestion with governance and quality
- Cloud/platform: AWS, Kubernetes, Docker; infrastructure as code; observability
- Privacy and compliance in regulated settings; clear communicator; mentor who sets objectives and drives ownership
Interview process
- Online interview with the Talent Partner and the Director of AI Engineering
- Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product
At Reward Gateway | Edenred we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate.
Be comfortable. Be you.
We want every employee to feel comfortable bringing their passion, creativity, and individuality to work. We value all cultures, backgrounds, and experiences, because we believe diversity drives innovation and makes us stronger. Our approach to hiring and building teams is about more than filling roles - it’s about creating an environment where everyone can thrive, feel supported, and contribute to our mission of making the world a better place to work.