ReSource Pro is a trusted name in insurance operations, and they are seeking a Senior Forward Deployed AI Engineer to lead engineering for new AI products. This role involves building AI products from scratch, engaging directly with customers, and ensuring engineering excellence in a startup-like environment.
Responsibilities:
- 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
- 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
Requirements:
- 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