Senior AI Engineer

AI-Native Product Development

• Design and implement AI-first architectures, where machine learning and generative AI are foundational system components.
• Build and productionize ML and Generative AI workflows, including prompt engineering, retrieval-augmented generation (RAG), evaluation, and iteration.
• Develop end-to-end AI features, from data ingestion and feature engineering to inference and feedback loops.
• Partner with Product and UX teams to shape AI-driven user experiences, ensuring usability, explainability, and trust.

Prompt Engineering & Optimization

• Design, develop, and optimize prompt strategies for large language models to ensure accuracy, consistency, and relevance in production use cases.
• Implement prompt versioning, experimentation, and A/B testing to support rapid iteration and data-driven improvements.
• Continuously evaluate and refine prompts using offline evaluation, automated testing, and live telemetry to reduce hallucinations and improve output quality.
• Optimize prompt and model usage to balance response quality, latency, and cost efficiency at scale.
• Collaborate with UX and Product to align prompt behavior with user intent, tone, and experience expectations.

Engineering & Platform Excellence

• Develop scalable backend services using Java and/or Python, deployed in AWS cloud environments.
• Design and optimize API-driven architectures that integrate AI services securely and reliably across the platform.
• Work with SQL and NoSQL databases to support transactional and analytical workloads.
• Apply strong engineering fundamentals around performance, reliability, observability, and security.
• Contribute to architectural decisions that ensure long-term scalability and maintainability.

Leadership & Collaboration

• Provide technical leadership in AI and system design discussions.
• Mentor engineers and help raise the overall AI and engineering maturity of the team.
• Collaborate cross-functionally with Data Science, Platform, UX, DevOps, and Security teams.
  • Influence technical roadmaps and align AI capabilities with Workforce AI product goals.