AI Engineer

Description

Hello, we're Augeo. We decode what moves people. For 27 years, we've helped enterprises build meaningful connections with everyone who matters to them: the people who work for them, buy from them, show up for them and talk about them. We serve hundreds of clients, including nearly 100 Fortune 500 companies, reaching millions of people every day.

Augeo is building an agentic loyalty platform that will power personalized engagement for tens of millions of users. Always on, context-aware, and extensible by design, the platform delivers an "Audience of One" experience where every interaction makes the system smarter. We are hiring engineers with exceptional architectural judgment, deep product ownership experience, and an AI-forward mindset to join the team building it.

• →You will own a product capability end to end, from architectural decisions through production outcomes, cutting through every layer: entry points, orchestration, intelligence, tools, data, and observability. Your work directly shapes how Augeo's clients engage tens of millions of users.
• →You will build and ship mission-critical AI agents that drive revenue growth across finance, healthcare, telecom, and commerce. Not proof-of-concepts. Powerful, scalable systems running in production.
• →Define how AI agents are built at Augeo. Drive the Agent Development Life Cycle (ADLC) from initial pilot through production iteration, setting the standard for how agents are developed, tested, evaluated, and improved.
• →Build the shared platform: agent orchestration, agentic workflows, ML models, and data infrastructure that every product team at Augeo builds on.
• →Work across Augeo with engineers, product leads, and end users to understand needs, close feedback loops, and ensure the platform compounds with every interaction.
• →Shape the team. Participate in hiring and define the culture of an engineering org that is AI-native from day one.

• 7+ years of software engineering experience, with at least 2 years owning technical direction for a team, product, or company
• Demonstrated ability to own a product domain end to end: from defining what to build through shipping and operating it in production
• Experience putting AI-powered systems into production: LLM integration, prompt engineering, tool calling, RAG, evaluation, and orchestration
• Strong systems design and architectural judgment across distributed systems, APIs, and data pipelines
• A builder’s mindset with high agency - you find creative ways to overcome obstacles and launch products
• Daily, fluent use of AI coding tools (Claude Code, Codex, or similar) as a primary way of working
• Ability to work autonomously with minimal direction in a flat, fast-moving team

• Experience building loyalty, fintech, marketing, or commerce platforms
• Familiarity with our technical stack: Rust, TypeScript, AWS
• Familiarity with agentic tools and technologies: agent orchestration, RAG pipelines, context engineering, and eval frameworks
• Experience with multi-tenant platform architecture and data isolation
• Background in ML/data science: predictive models, personalization, optimization