Senior Applied AI Engineer building production AI agents for Tango Analytics’ real estate technology platform. Designing retrieval, evaluation, safety, and human - review capabilities for customer workflows.
About the role
- Engineering Team Lead for AI Platform at Roofr, shaping AI integration in products and leading a platform engineering team.
Responsibilities
- Build and lead a team of platform engineers, setting technical direction, conducting code reviews, and mentoring engineers as the team grows
- Define and build the application-layer foundation for AI at Roofr — establishing the core integration patterns, agent architecture, and shared abstractions that product teams across the org will build on
- Own the integration architecture strategy — making the foundational decisions on how Roofr's product connects to AI services and third-party systems, and setting the standard for how the rest of engineering builds with AI
- Design and maintain our third-party integration layer, establishing scalable, reliable patterns for connecting Roofr to external services and APIs
- Build the data pipelines that power our AI features — structured data feeds, embeddings, retrieval infrastructure, and more
- Take strong ownership over platform reliability, performance, and developer experience — the teams building on top of you depend on it
- Partner with product and engineering leadership to shape the AI roadmap and help the broader organization understand what's possible
- Navigate a maturing codebase and help drive architectural consistency across domains with varying levels of maturity
- Establish standards and best practices for how Roofr builds with AI — from SDK design to observability and reliability
- Evaluate emerging models, frameworks, and tooling and make pragmatic, well-reasoned bets on adoption
Requirements
- 7+ years of software development experience, with 3+ years in a technical leadership role
- Practical, hands-on experience building production AI systems — you've shipped agents, integrations, or AI-powered features at scale, not just experimented with APIs
- Deep familiarity with LLM APIs and agent frameworks (e.g. Anthropic Claude, OpenAI, LangChain, or similar)
- Experience building evaluation pipelines and quality benchmarks for LLM-powered systems
- Strong background in integration architecture — designing reliable, extensible connectors to third-party services
- Experience building data pipelines that feed AI systems, including familiarity with RAG, embeddings, and vector search patterns
- Backend engineering depth with a track record of building systems that scale — fullstack experience is a plus
- Experience with PHP/Laravel is an asset; what matters most is that you've built scalable backend platforms and can learn the stack
- Proven ability to take ownership — you think beyond your tickets, care about the long-term health of what you build, and hold a high bar for quality
- Comfort being a strong individual contributor while also growing and guiding a team
- Strong communication skills — you can articulate complex technical tradeoffs clearly to engineers and non-technical stakeholders alike
- Experience at an early-stage or high-growth company, and the ability to thrive with the pace and ambiguity that comes with it
- A genuine excitement for what AI makes possible — and the pragmatism to build it well.
Benefits
- 1st week of employment is mandatory PTO! Start your journey with Roofr by decompressing and recharging - we will see you in week 2!
- 1 Friday off per month (we call those our laundry days!)
- Company wide paid shutdown for the week between Christmas and New Years
- Flexible time off
- 80% employer-paid benefits in the U.S. and 100% employer-paid premiums for Extended Healthcare and Dental in Canada
- RRSP/401k match
- Generous Parental Leave policy
- We host an annual company retreat with great team building activities
- Ample learning and development opportunities to continue growing your career
- Home office setup stipend
- Internet and phone allowance
- Remote first culture
- Weekly Friday paydays!
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Senior Applied AI Engineer building production AI agents for Tango Analytics’ real estate technology platform. Designing retrieval, evaluation, safety, and human - in - the - loop capabilities.
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