Senior AI Engineer defining architecture for complex agent workflows in the insurance sector. Collaborate with SMEs, design prototypes, and set evaluation standards for AI tools.
About the role
- AI Engineer developing and deploying production-ready LLM systems at Fulfillment IQ. Focused on ownership and impact in complex supply chain solutions.
Responsibilities
- Design and build production-grade LLM systems (RAG, agents, APIs)
- Architect systems that minimize rework in fast-evolving environments
- Own end-to-end delivery of critical AI features
- Define and implement evaluation frameworks
- Optimize systems for cost, latency, and reliability
- Collaborate across teams where needed
- Provide technical guidance where applicable (especially for less experienced engineers on adjacent teams)
Requirements
- Strong backend/software engineering foundation (Python, APIs, system design)
- Proven experience shipping LLM-powered features to production (non-negotiable)
- Deep expertise in:
- - RAG systems (advanced retrieval + evaluation)
- - LLM evaluation methodologies (golden sets, regression testing)
- - Prompt engineering at API level
- - Agent architectures (ReAct, tool calling, planning loops)
- Strong understanding of trade-offs (cost, latency, scalability)
- Ability to work independently in ambiguous, fast-moving environments
- Bachelor's or master's degree in computer science or a related discipline
Benefits
- Employee Health: Comprehensive health and dental coverage for you and your family
- Time Off: Competitive paid time off and flexible leave policies
- Retirement: Retirement savings programs and employer contributions
- Professional Growth: Dedicated learning and development budget
- Flexible Work: Remote and hybrid work options
- Perks: Equipment allowances, internet reimbursements, business travel coverage, and employee stock options (ESOP), where applicable.
- Community Engagement: Team events, meetups, and company offsites
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