AI Engineer; Hybrid

At Xceleration, we design employee recognition and reward programs that truly connect people to their work. Our Reward Station® platform is used worldwide for everything from peer‑to‑peer recognition to service milestones, allowing companies to create experiences that reflect their values and reward employees in meaningful ways. We’re proud to work across more than 90 countries, delivering solutions that adapt to different cultures and work environments.

Joining Xceleration means working with cutting‑edge technology while being part of a team that values input and collaboration. Our environment is designed to help you grow, contribute, and see your efforts directly impact how companies engage and motivate their employees. If you’re looking for a space where your ideas can shape the future of workplace recognition, Xceleration is the place.

We build Reward Station, an enterprise employee recognition and rewards platform trusted by major brands to engage their work forces. Our Maslow analytics platform transforms recognition data into actionable insights. We serve enterprise clients with multi‑tenant SaaS architecture processing millions of recognition events and rewards transactions.

Most engineers are AI‑curious, they open Claude or Cursor once a week. We’re looking for engineers who are AI‑forward—you co‑build with AI tools daily. You don’t just use AI to autocomplete code; you leverage it to architect solutions, accelerate debugging, generate tests, and ship faster without sacrificing quality. You’ll join a small, senior team of architects and engineers building and evolving our platform while we expand our technology footprint into new areas.

• Build full‑stack features across our React/Type Script frontend, .NET/C# microservices backend, and emerging Node.js/Express and Postgre
  
  SQL services
• Architect integrations with enterprise platforms—Microsoft Teams, Slack, Workday, and HRIS systems
• Expand our analytics capabilities using emerging tools like Python, DuckDB, Postgre
  
  SQL, and Apache Superset
• Design AI‑powered features that enhance recognition workflows, automate processes, and surface insights
• Engineer with leverage using Claude Code, Cursor, Git Hub Copilot, or similar tools—demonstrating where AI saved time and improved quality
• Build automation workflows using platforms like Workato and n8n to connect systems and eliminate manual processes
• Maintain security and compliance standards required by our enterprise clients (SOC 2, data privacy, AI governance)
• Collaborate across disciplines with architects, product, and client success teams to translate business needs into working software

• 5+ years building and shipping production applications
• Strong proficiency in React, Type Script, and modern frontend patterns
• Experience with the tech stack mentioned above, or eagerness to learn
• AI‑forward mindset:
  You co‑develop with AI tools daily, not occasionally
• Experience with REST API design, OAuth/OIDC authentication, and enterprise integrations
• AWS experience (or other major cloud platforms)
• Strong communication skills—you can explain technical decisions to non‑technical stakeholders
• Experience with LLM integration, RAG systems, or AI agent frameworks

The salary range for this role may be a reflection of factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience.

• A small, senior team where your work has direct impact
• Opportunity to shape our AI strategy and expand into new technologies
• Enterprise clients who value quality and long‑term partnerships
• Access to cutting‑edge AI development tools and training
• Competitive pay, perks, and employee‑first policies: company‑paid holidays, unlimited Discretionary Time Off
• Benefits include Medical, Dental, Vision, Life, Legal, Short/Long‑term Disability, 401(k) & Retirement planning
• Open‑door management and HR practices, transparent career advancement planning, and…