Lead AI Engineer, Work From Home

Lead AI Engineer Work From Home

We are looking for a Lead AI Engineer to own the design development and delivery of production AI systems across our backend and workflow automation stack.  The Lead AI Engineer role sits at the core of the AI platform where model capabilities are translated into reliable scalable and production-grade systems that directly impact real users and business outcomes.  This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable scalable AI systems.  We have multiple openings for this position.  This position is 100% Remote.

Lead AI Engineer Responsibilities:

- Lead the design and development of production AI systems powering insurance workflow automation.

- Architect AI orchestration layers connecting LLMs backend services and business workflows.

- Own end-to-end AI system design including inference pipelines routing caching and fallback strategies.

- Drive engineering decisions around latency reliability cost and scalability of AI services.

- Lead implementation of Observability Systems (logging monitoring tracing alerting).

- Review and guide backend AI implementation across engineering teams.

- Collaborate with product backend DevOps and operations teams to ship end-to-end AI features.

- Debug complex production issues across distributed AI systems and lead root-cause analysis.

- Define engineering standards and best practices for AI system development.

- Mentor engineers and elevate technical execution quality across teams.

Lead AI Engineer Outcomes:

- AI systems operate reliably at scale with strong performance and low latency.

- AI workflows are stable observable and production-grade across multiple products.

- System architecture supports rapid iteration without compromising reliability.

- Production incidents are quickly identified resolved and prevented.

- Engineering teams execute faster and with higher technical quality under your leadership.

- AI capabilities are deeply integrated into global insurance workflows.

Qualifications :

Lead AI Engineer Qualifications:

- Strong backend or AI engineering experience in production environments.

- Experience building or scaling AI systems (LLMs embeddings recommendation systems or automation workflows).

- Strong system design skills with experience in distributed systems.

- Experience with production inference pipelines and AI orchestration.

- Strong debugging ability in high-scale latency-sensitive environments.

- Experience with observability monitoring and incident response.

- Proven ability to lead technical execution in cross-functional teams.

- Strong ownership mindset and ability to drive projects end-to-end.

- Comfortable working in fast-paced globally distributed teams.

- Tech Stack:  Anthropic Distributed Systems Tools Docker Kubernetes LLM APIs NoSQL Observability Stack (Logging Metrics Tracing) OpenAI Open-Source Models Python and SQL.

Benefits include medical insurance Dental Vision Savings Plan Options PTO etc.

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Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Yes

Employment Type :

Full-time