Applied AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and refine agentic AI systems tailored for intricate healthcare workflows, encompassing documentation, coding, denial management, appeals, and revenue cycle automation.

• Create long-term agent behaviors involving context construction, retrieval, tool utilization, memory management, routing, verification, escalation, and human-in-the-loop reviews.

• Establish specifications, rubrics, gold standards, test cases, and clinically relevant success criteria for clinical agents.

• Develop evaluation and feedback frameworks utilizing expert reviews, production logs, model outputs, and benchmarks.

• Assess performance, regressions, edge cases, safety, reliability, provenance quality, and business impact.

• Prototype AI functionalities and solidify them into dependable, explainable, and auditable production systems.

• Collaborate with research and ML engineering teams on model selection, fine-tuning, reward modeling, distillation, synthetic data generation, post-training processes, and internal AI infrastructure.

• Engage with instrumentation, experiment tracking, benchmarking, prompt/version management, and reproducible evaluation methodologies.

• Work alongside clinical, product, and engineering teams to convert real-world healthcare challenges into scalable AI solutions.

⛳️ Requirements

• Minimum of 4 years of experience in software engineering, machine learning engineering, applied AI, research engineering, or a related discipline.

• Strong expertise in Python programming.

• Experience in developing production applications utilizing APIs, structured data, testing, logging, and observability tools.

• Familiarity with LLM applications, AI agents, RAG (Retrieval-Augmented Generation), prompt engineering, tool invocation, structured outputs, or machine learning systems.

• Proven experience in designing evaluation frameworks, benchmarks, experimental workflows, and performance monitoring for AI systems.

• Capacity to thrive in ambiguous, high-impact environments and translate complex real-world issues into scalable AI solutions.

🏝️ Benefits

• Competitive compensation package, including a bonus that starts at 10%.

• Flexible paid time off (PTO).

• Comprehensive health benefits.

• 401(k) matching program.

• A team of inspiring, brilliant, and mission-driven colleagues.

• Annual bonus plan with a target of 10.00%.

• Opportunities for continuous learning, cross-group collaboration, and career exploration.

• Attractive benefits package.