Staff AI Engineer | Agentic Systems

machinifyinc; United States; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

FSA/HSA

Tuition reimbursement

401(k) match

Unlimited PTO

Equity

Job summary

machinifyinc is seeking a senior engineer to lead the design and delivery of production AI agents that review medical records and claims, apply coding and clinical guidance, and produce evidence-backed findings suitable for expert scrutiny.

You will own problems from understanding business needs to defining success measures, set direction for other engineers, and present results to business and clinical stakeholders.

Qualifications

• At least 6 years of applied AI, ML, or software engineering with a relevant bachelor’s degree or equivalent.
• Alternatively, at least 4 years with a relevant master's or doctorate.
• Ownership of at least two production systems from unclear problems through measured impact.
• Ability to scope open-ended work, set success measures, and deliver business results.
• Hands-on experience designing agent workflows, grounding answers in evidence, and investigating failures.
• Strong evaluation discipline, Python skills, and ability to collaborate with domain experts.
• Familiarity with VS Code and Git workflows (branches, rebases, PRs).

Responsibilities

• Work with clinical, product, and operations partners to clarify problems into technical goals.
• Define evaluation metrics, baselines, and shipping thresholds; build tools and data pipelines.
• Plan initiatives with clear scope, dependencies, decisions, and tradeoffs for stakeholders.
• Set architecture for agent workflows, context handling, model selection, and safeguards.
• Build reliable, citation-grounded systems; improve quality, latency, and cost; mentor teammates.
• Present results and explain methods to business and clinical stakeholders.

Skills

Python skills

Evaluation discipline

Collaboration with domain experts

Agent workflow design

Context handling

Education

Bachelor's degree or equivalent

Master’s or PhD in related field

Tools

VS Code

Git workflows

Job description

Role overview

Lead the design and delivery of production AI agents that review medical records and claims, apply coding and clinical guidance, and produce evidence-backed findings suitable for expert scrutiny. You will own a problem area from understanding a business need and defining success measures through technical implementation and demonstrated results, while setting direction for other engineers.

Responsibilities

• Work with clinical, product, and operations partners to clarify ambiguous problems and turn them into measurable technical goals.
• Define evaluation metrics, baselines, and shipping thresholds; build repeatable evaluation tools and data pipelines.
• Plan and sequence initiatives, making scope, dependencies, decision points, and tradeoffs clear to technical and nontechnical stakeholders.
• Set architecture for agent workflows, context handling, model selection, evaluation, and deterministic safeguards.
• Build reliable, citation-grounded systems and improve quality, latency, and operating cost; review designs and code and mentor teammates.
• Present results and explain methods to business and clinical stakeholders, including when findings are challenged.

Requirements

• At least 6 years of applied AI, machine learning, or software engineering experience with a relevant bachelor’s degree or equivalent; alternatively, at least 4 years with a relevant master’s or doctorate.
• Ownership of at least two production systems from an unclear initial problem through measured impact, ideally including an LLM or agent system.
• Demonstrated ability to scope open-ended work, establish success measures, deliver it, and show business results.
• Hands‑on experience designing agent workflows, engineering context and structured outputs, grounding answers in evidence, and investigating failures.
• Strong evaluation discipline, Python skills, and confidence collaborating with domain experts and translating technical decisions for them.
• Familiarity with VS Code and Git workflows, including branches, rebases, worktrees, conflict resolution, and pull requests.

Nice to have

• Experience in healthcare, legal, finance, or another high‑consequence field; ownership of trusted business metrics; long‑context document systems; technical leadership; reasoning models; or production LLM caching, observability, and cost controls.
• Document extraction, vision‑language models, multimodal retrieval, and presenting to executive or external audiences are also useful.

Benefits and work setup

Hybrid work with a preference for in-office collaboration and some flexibility. The listed package includes medical, dental, and vision coverage, FSA/HSA, tuition reimbursement, a 401(k) match, unlimited paid time off, and equity. The stated base salary range is $180,000–$260,000+, depending on level and experience.