AI Backend Engineer, Work From Home

AI Backend Engineer Work From Home

We are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning automation and orchestration across our platform.  This role sits at the core of our AI stack between models backend systems and real users where latency correctness reliability and cost directly impact production experience.  This is a fully remote position 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.

AI Backend Engineer Responsibilities:

- Build and operate backend systems that serve AI-powered insurance workflows in production.

- Design and implement AI orchestration layers that connect models APIs workflows and business logic.

- Build inference pipelines for LLM-based and AI-assisted automation systems.

- Optimize latency throughput and cost across AI services (caching batching streaming routing).

- Design stable service boundaries between backend systems ML components and product APIs.

- Implement observability: logging metrics tracing alerting and incident response workflows.

- Debug production issues across distributed AI systems and resolve root causes.

- Collaborate closely with frontend product operations and ML teams to ship end-to-end features.

- Continuously improve system reliability scalability and performance.

AI Backend Engineer Outcomes:

- AI backend systems run reliably at scale with low latency and high availability.

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

- System performance improves continuously through real-world feedback and optimization.

- Production incidents are quickly detected diagnosed and resolved.

- AI capabilities are seamlessly integrated into global customer and internal workflows.

Qualifications :

AI Backend Engineer Qualifications:

- Strong backend engineering experience in production systems.

- Experience building or operating high-throughput low-latency services.

- Familiarity with AI Systems (LLMs Embeddings or AI Workflows).

- Experience with distributed systems and production debugging.

- Strong understanding of APIs data flows and system design principles.

- Experience with observability tools (logging monitoring tracing).

- Strong ownership mindset and bias toward shipping.

- Comfortable working in fast-paced globally distributed teams.

- Tech Stack:  Anthropic Artificial Intelligence (AI) Distributed Systems Tooling Docker Kubernetes LLM APIs NoSQL Observability Tools OpenAI Open-Source Models Python SQL.

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

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Additional Information :

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Remote Work :

No

Employment Type :

Full-time