Senior AI Engineer

Doctronic

. Design and implement the next generation of Doctronic's AI doctor architecture, including reasoning, reflection, verification, tool use, routing, uncertainty handling and escalation .

Posted 9/21/2026full-timeUnited StatesSenior💰 $200,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML system design and implementation, focusing on agentic architectures, model evaluation, and clinical decision-making. Proficient in building robust systems that enhance clinical safety and efficiency through advanced machine learning techniques.

Highest-signal resume keywords

Agentic ArchitecturesModel EvaluationReinforcement LearningSearch AlgorithmsClinical AI Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning FundamentalsModel TrainingFine-TuningDistillationReinforcement LearningSearchRankingRetrievalEvaluation MetricsFailure Analysis

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

LLMsGenerative AISimulationSynthetic Data Generation

Industry Keywords

HealthcareClinical AIHIPAAFHIREHRHL7AI SafetyBias DetectionCalibrationFairness

About the role

Key responsibilities & impact

Design and implement the next generation of Doctronic's AI doctor architecture, including reasoning, reflection, verification, tool use, routing, uncertainty handling and escalation
Build systems where specialized agents and models work together to make clinical decisions safely, reliably and efficiently
Build evaluation platforms, rubrics, simulations and experiments to measure AI doctor performance
Identify improvements across reasoning, retrieval, model behavior, data and engineering, and validate whether interventions improve the system
Apply fine-tuning, distillation, reinforcement learning, preference optimization, prompt optimization and system optimization
Build training data, feedback, reward and experimentation pipelines
Build search, ranking, retrieval and grounding algorithms connecting clinical reasoning to trusted medical evidence, partner-specific content and patient context
Evaluate retrieval based on downstream clinical decisions
Own problems end-to-end, from framing through measuring results
Collaborate with clinical, product and engineering partners
Advance AI systems that improve clinical safety, accuracy and autonomy while scaling Doctronic's AI doctor

Requirements

What you’ll need

Deep experience in at least two of: agentic architectures, reasoning systems and tool use; model evaluation, experimentation and rubric design; model training, fine-tuning, distillation or reinforcement learning; search, ranking, retrieval or RAG
Strong ML fundamentals, including training data, objectives, metrics, failure analysis, calibration and validation
Strong engineering fundamentals; ability to build real systems, not just notebooks or one-off experiments
Clear communication and collaboration across engineering, clinical and product teams
Typically, an advanced degree in a quantitative, computational or scientific discipline and 3+ years of highly relevant applied or research experience in AI/ML; or 7+ years of relevant experience building and researching ML systems, including recent hands-on work with LLMs and generative AI
Experience in at least two listed AI/ML specialization areas
Bonus: published research, patents, meaningful open-source contributions or novel production ML systems
Bonus: early-stage or high-growth company experience
Bonus: healthcare, clinical AI or regulated/safety-critical domain experience, including HIPAA, FHIR, EHR or HL7 familiarity
Bonus: human-feedback systems, RLHF, simulation or synthetic-data generation
Bonus: AI safety, bias detection, calibration or fairness experience
Willingness to work in-person in a hybrid arrangement from the New York City or San Francisco offices
Employment visa sponsorship requirements must be disclosed

Benefits

Comp & perks

Competitive salary
Meaningful equity with real upside as we grow
High autonomy and end-to-end ownership on problems that matter
Work side by side with physician-scientists
Health benefits
12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood
Equal opportunity and inclusive work environment