Staff AI Engineer

Jobtailor; Menlo Park (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Jobtailor is hiring for a senior AI/ML engineer to own the GenAI and multimodal agent roadmap for medical devices. You will translate product needs into robust AI architectures, drive stateful system designs, and shepherd high-risk components from prototype through validation.

Responsibilities include establishing evaluation standards, real-time speech processing, and interfacing with regulatory teams. You will mentor engineers, implement safety metrics, and ensure on-time delivery within

Qualifications

• Bachelor's degree in CS, ML, EE, biomedical, or math
• 4+ years AI/ML engineering or 2+ years with a Master's
• Strong Python proficiency
• Experience with NLP/LLM, speech processing, or generative AI
• Edge-device model deployment with latency constraints
• Ability to lead teams and communicate with stakeholders

Responsibilities

• Own the technical direction of GenAI and multimodal agent capabilities for medical devices
• Translate product needs into robust, testable AI system designs and drive architecture across components
• Carry high-risk technical components from prototype through validation-ready implementation
• Architect stateful agentic systems including intent handling and tool calling
• Establish evaluation standards, test sets, and automated harnesses for multimodal GenAI systems
• Instrument systems with structured logging and reproducible evaluation runs
• Mentor junior engineers and enforce engineering quality through reviews
• Communicate AI constraints and trade-offs to stakeholders

Skills

AI/ML Engineering Experience

Python Proficiency

NLP/LLM Systems Experience

Technical Leadership

Real-Time Speech Processing

Education

Bachelor's Degree in Computer Science

Master's Degree in Related Field

Tools

Python

C++

ASR

TTS

GenAI

Multimodal Systems

Streaming Audio

Evaluation Harnesses

QMS Documentation

Regulatory Submission

Job description

• Own the technical direction of GenAI and multimodal agent capabilities for medical devices
• Translate product needs into robust, testable AI system designs and drive architecture across components
• Carry high-risk technical components from prototype through validation-ready implementation
• Architect stateful agentic systems including intent handling, tool/function calling, dialog and device-state management, interruption handling, and recovery
• Design layered safety guardrails and define testable model boundaries
• Establish evaluation standards, comprehensive test sets, and automated harnesses for multimodal GenAI systems
• Develop and evaluate real-time speech and language components while balancing quality with medical hardware constraints
• Evaluate, select, integrate, and fine-tune off-the-shelf and small-footprint models
• Own buy/adapt/build decisions and their justification
• Establish safety, bias, and performance metrics and produce QMS and regulatory submission documentation
• Instrument systems with structured logging, agent-action audit trails, and reproducible evaluation runs
• Mentor junior engineers and ensure engineering quality through design and code review
• Communicate AI constraints and trade-offs to product, clinical, and regulatory stakeholders
• Track GenAI, speech, and agent-architecture advances and incorporate relevant developments into the roadmap

Requirements

• Bachelor's Degree in Computer Science, Machine Learning, Electrical Engineering, Biomedical Engineering, Mathematics, or related field
• 4+ years of AI/ML engineering experience, OR Master's Degree in the above fields and 2+ years
• Strong proficiency in Python
• Working proficiency in C++ or other relevant languages optionally preferred
• Hands-on experience designing custom evaluation metrics, evaluation harnesses, and test-set generation
• Experience applying statistical rigor to AI evaluation and validation
• Experience building production systems around LLM function calling/tool use
• Recent experience in NLP/LLM systems, speech processing (ASR/TTS), or generative AI applications
• Experience fine-tuning ASR or small language models for domain-specific vocabulary
• Experience with real-time voice interfaces, streaming audio, turn-taking, interruption handling, and noisy environments
• Technical leadership experience setting direction for significant systems or product areas
• Experience setting technical direction across multiple teams or leading multi-component product architecture
• Experience deploying and optimizing models on edge compute devices under latency and memory constraints
• Strong problem-solving, detail orientation, and critical-thinking skills
• Excellent communication and interpersonal skills
• General knowledge of the healthcare market

Core Competencies

Demonstrates expertise in AI/ML engineering with a focus on designing and implementing multimodal agent capabilities for medical devices. Proficient in Python and experienced in developing evaluation metrics, real-time speech processing, and regulatory documentation.

Highest-signal resume keywords

• AI/ML Engineering Experience
• Python Proficiency
• NLP/LLM Systems Experience
• Technical Leadership
• Real-Time Speech Processing

Hard Skills

• AI System Design
• Evaluation Metrics Design
• Statistical Rigor Application
• Production System DevelopmentModel Fine-Tuning
• Real-Time Voice Interface Development
• Tool/Function Calling
• Dialog Management
• Interruption Handling
• Edge Compute Optimization

Soft Skills

• Problem-Solving
• Detail Orientation
• Critical Thinking
• Excellent Communication
• Interpersonal Skills

Certifications & Qualifications

• Bachelor's Degree in Computer Science
• Master's Degree in Related Field

Industry Keywords

• Healthcare Market
• Medical Devices
• AI Evaluation Standards
• Safety Metrics
• Bias Metrics

Tools & Technologies

• Python
• C++
• ASR
• TTS
• GenAI
• Multimodal Systems
• Streaming Audio
• Evaluation Harnesses
• QMS Documentation
• Regulatory Submission