Senior AI Engineer (only W2)

Job Description

Seeking an AI-forward Senior Software Engineer to build secure, reliable, and scalable AI-enabled products and capabilities.

The ideal candidate combines strong software engineering fundamentals with hands-on experience applying generative AI to meaningful business and customer problems. They will partner across Engineering, Product, Data, Security, and Infrastructure to turn emerging AI capabilities into durable production solutions.

Responsibilities

• Design and build production-grade AI agent systems, including multi-agent workflows, orchestration layers, and the infrastructure needed to make them reliable, observable, and auditable.
• Design retrieval, context, and memory systems that ground AI outputs and support reliable multi-step workflows.
• Develop AI-powered decision-support systems that meet the accuracy, traceability, and explainability requirements of healthcare and other regulated environments.
• Develop distributed backend services, event-driven workers, job pipelines, and multi-stage processing systems that deliver AI outputs reliably under load.
• Build intuitive, product-quality user experiences using React and TypeScript that make complex AI capabilities understandable and actionable.
• Establish patterns for AI quality assurance, including automated evaluations, regression testing, groundedness checks, and compliance guardrails.
• Own the deployment and operation of AI-enabled systems through CI/CD, cloud infrastructure, monitoring, alerting, and production support.
• Evaluate models, frameworks, and architectural approaches based on accuracy, latency, reliability, security, and cost.
• Partner with Product, Engineering, Data, Security, and Infrastructure to deliver responsible and scalable AI solutions.
• Mentor engineers and help raise engineering standards across the team.

Required Experience

• Five or more years of software engineering experience, including ownership of complex systems from design through production.
• Hands-on experience building AI-enabled applications, including agentic workflows, LLM integrations, evaluation systems, and production AI pipelines.
• Strong Python expertise, including asynchronous services, type-safe application development, API design, testing, and scalable backend systems.
• Strong React and TypeScript expertise, with experience building polished, reliable, and maintainable product experiences.
• Experience with RAG, embeddings, vector search, context engineering, or other retrieval-based AI architectures.
• Understanding of security, privacy, access control, and data-governance considerations for AI systems.
• Strong distributed systems fundamentals, including event-driven architectures, message queues, background workers, job pipelines, and state management.
• Fluency with relational databases and strong data-modeling judgment.
• Strong judgment around how AI systems should be tested, evaluated, monitored, and improved in production.