Senior ML Engineer: End-to-End LLM Systems for Healthcare

Sword; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Sword is building AI to revolutionize healthcare, focusing on clinical reasoning and real-time treatment. We seek engineers who can own ML projects end-to-end, from exploration through production, and design agentic LLM systems that operate in real-world settings.

You will collaborate with Product, Clinical, and Engineering teams, review code, mentor others, and contribute to data prep, model adaptation, serving, monitoring, and feedback loops for continuous improvement.

Qualifications

• Experience shipping ML systems to production that people actually depend on.
• Hands-on LLM work in production: prompting, retrieval, tool calling, and agent-style workflows.
• A rigorous approach to evaluation: you've built eval datasets and frameworks, and you can tell a real improvement from noise.

Responsibilities

• Own ML projects end-to-end from exploration through production deployment.
• Build agentic LLM systems with multi-step workflows and tool use.
• Lead evaluation efforts with regression tests and offline/online harnesses to prevent quality drops.

Skills

ML systems in production

LLM workflows

Evaluation frameworks

Tools

Prompts

Retrieval

Agent workflows

Job description

Sword is building AI to revolutionize healthcare, focusing on clinical reasoning and real-time treatment. We seek engineers who can own ML projects end-to-end, from exploration through production, and design agentic LLM systems that operate in real-world settings.

You will collaborate with Product, Clinical, and Engineering teams, review code, mentor others, and contribute to data prep, model adaptation, serving, monitoring, and feedback loops for continuous improvement.