Senior Software Engineer, AI
Build customer-facing agentic AI experiences for loyalty programs, combining LLM workflows, product engineering, personalization, and safety controls. The role requires 6+ years of software engineering experience and production experience with AI or LLM-powered systems.
About the job
Responsibilities
- Design and develop agentic workflows that help users view, understand, connect, and manage loyalty programs through chat, wallet surfaces, and personalized recommendations.
- Build reliable production LLM-powered flows with structured outputs, tool calling, guardrails, human confirmation, evaluations, and monitoring.
- Create scenario tests, adversarial evaluations, prompt and tool contracts, and quality metrics for safe agent behavior around loyalty data, PII, financial guidance, and unsupported requests.
- Integrate frontend, backend, and AI orchestration layers, including wallet APIs, streaming chat experiences, UI components, data services, and ML/LLM workflows.
- Transform loyalty balances, tier progress, membership data, connected email signals, and trip context into recommendations and next-best actions.
- Collaborate with product, design, backend, data, and platform teams to ship measurable customer experiences.
- Champion maintainable code, strong testing, observability, documentation, and operational ownership.
Requirements
- 6+ years of software engineering experience building production systems, including hands-on experience with AI, LLM, agent, workflow, or ML-powered products.
- Experience building production agentic systems, tool-calling workflows, RAG-like systems, structured LLM outputs, evaluation pipelines, or AI assistants.
- Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar backend/product engineering stacks.
- Experience with distributed systems, APIs, asynchronous workflows, caching, observability, and production debugging.
- Familiarity with AI safety patterns including guardrails, human-in-the-loop confirmation, deterministic tool boundaries, hallucination prevention, and PII-sensitive workflows.
- Product mindset and ability to translate ambiguous user needs into robust user-facing experiences.
- Strong ownership, including shipping, measuring, iterating, and supporting features after release.
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience.
Nice-to-haves
- Experience with travel, loyalty programs, personalization, fintech, or consumer data products.
Compensation
- Pay range: $113,400–$252,000 USD annually.
Skills
Artificial Intelligence, LLMs, Agentic Systems, Tool Calling, RAG, TypeScript, Node.js, Java, Python, Distributed Systems, APIs, Caching, Observability, Guardrails, Prompt Engineering
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