Do you thrive and have demonstrated experience turning bold ideas into working AI products? Do you want to lead engineering for two new AI products with no legacy code, full ownership, and direct access to customers and the CEO?
Come Join the New AI Team At ReSource Pro!
This role sits within a brand-new, 10-person, autonomous innovation group reporting directly to the CEO. The AI Factory brings together senior engineering, product, and design talent to build two net-new customer-facing AI products - from zero to production - for the insurance industry. You won’t be inheriting legacy code. You’ll be helping to architect and build new products on a new foundation. This is a hands-on engineering role in a startup-like environment, backed by the credibility, reach, and customer base of a 14,000-person enterprise.
ReSource Pro has spent two decades becoming a trusted name in insurance operations. This new AI development center is its next chapter, translating deep domain credibility into breakthrough digital products.
Why This Role Matters
The AI Factory is built to prove what’s possible with AI in insurance - claims, operations, and beyond.
- Build AI products from scratch Not prototypes or internal tools, but real systems customers use daily.
- Operate with startup speed Autonomy, pace, and experimentation, backed by enterprise support.
- Work directly with customers Understanding their workflows, debugging live pilots, and shaping the technical direction from real-world feedback.
- Set the technical bar Engineering excellence, system design, code quality, observability, and performance for a founding team.
Lead Engineering from Concept to Launch
- Own technical architecture, design, and implementation for new AI driven insurance products.
- Translate open ended opportunities into defined system designs and deliver production grade solutions.
- Make foundational decisions related to architecture, infrastructure, data flows, and scaling.
- Partner closely with product, design, and data science to execute rapid build → test → learn → deploy cycles.
- Develop prototypes and production features using Python, modern frameworks, LLM APIs, vector databases, and cloud native services.
- Work across integrations, backend workflows, orchestration layers, and customer facing features.
- Write full stack code with a focus on quality, reliability, and performance.
- Establish best practices for versioning, CI/CD, monitoring, model evaluation, and customer integrations.
- Lead small pods of engineers while supporting cross functional collaboration.
- Participate in customer sessions to observe workflows and validate product direction.
- Triages issues in real time and adjust technical direction based on practical use.
- Co design features with early adopters to ensure strong market fit.
- Prioritize aggressively to focus on features that drive customer value or learning.
- Define engineering rituals, coding standards, and team operating norms.
- Partner with executive leadership to communicate milestones and influence strategy.
Experience
- 7+ years of hands on engineering experience.
- Expert at leading greenfield or 0→1 product builds required
- Strong background working with AI powered systems, automation, workflow engines, or data intensive architectures.
- Experience collaborating closely with product and design teams.
- Cloud deployment experience, preferably AWS.
- Startup or small team operating experience.
- Strong system design ability across backend, AI workflows, automation, and distributed systems.
- Proficiency in at least one modern programming language with Python preferred.
- Experience integrating LLMs, embeddings, prompt orchestration, and evaluation tools.
- Ability to move rapidly from prototype to reliable production code.
- Strong instincts for reliability, logging, observability, and performance.
- Clear communicator with ability to articulate technical tradeoffs.
- Builder mindset with drive to turn ideas into working systems.
- Comfortable operating in ambiguity with speed.
- Balances creative problem solving with engineering rigor.
- Passionate about the future of AI in enterprise software.
- High ownership and collaborative approach.