Senior Prompt Designer – AI Clinical Products Job at DesignX Community (Montréal)

Senior Conversational AI Designer

We are looking for a talented, curious, and highly motivated Senior Conversation...

Location

United States

Salary:

106000.00 - 163000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

5+ years creating conversational design experiences
Ability to combine vision with strong creative design execution
Strong portfolio with work samples showcasing expertise, craft, aesthetics, and depth of thought
Experience designing for Generative or Agentive AI-powered experiences
Understanding of machine learning & natural language processing (NLP) fundamentals
Experience incorporating research into the design process
Subject-matter expert. Ability to work independently, be organized, self-motivated, and have attention to detail
Excellent written, visual, and verbal communication skills
Proficient in common design tools (e.g.Figma, VoiceFlow, ProtoPie, etc)
Demonstrated experience documenting for voice-only, voice-forward, and multi-modal experiences

Job Responsibility

Lead design vision and execution for AI-based conversational and multimodal experiences, advocating usability and user-centered design principles
Develop and promote conversation design best practice standards, reusable interactional patterns, and processes
Deliver effective design documentation to communicate experience requirements, design principles, best practices, prototypes, and multimodal flows to convey voice forward interactions that leverage AI
Identify opportunities for usability testing and research efforts by leading and supporting the creation of prototypes, participating in clinic sessions, analyzing, brainstorming, ideating etc
Build strong relationships with internal stakeholders to understand priorities, collaborate on actions to implement product and service solutions, and ensure a connected end-to-end user experience
Identify, track, and monitor industry/experience trends and drivers of customer needs and satisfaction
Lead visualization of experiences using storyboards, customer journeys, user flows, low-fidelity wireframes and voice prototypes to illustrate vision and influence impactful experiences in AI
Balance user needs, technical constraints, and product objectives to solve problems effectively, crafting world-class multimodal user experiences

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Senior Staff Machine Learning Engineer - Clinical - AI Teams

We are looking for a Senior Staff Machine Learning Engineer to join the Clinical...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives
PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)
Deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning
Expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP)
Exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions

Job Responsibility

Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns
Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs
Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows
Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations)
Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards
Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability
Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction
Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization
Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams
Translate clinical needs into research questions and production systems that measurably improve patient outcomes

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from abroad for up to 10 days per year thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Senior AI Engineer

As a Senior AI Engineer focused on agentic framework, you will focus on building...

Location

Denmark , København

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Strong programming skills in Python and the ability to contribute to production-grade codebases
Hands-on experience in LLMs, including at least some of the following: Training, finetuning, or post-training transformer-based models
Building or operating LLM inference services in production, including performance work
Experience with embeddings, vector databases, and semantic search
Practical experience implementing RAG architectures
Designing robust evaluations for agent workflows and generative systems, including metrics, error analysis, and human evaluation methods
Experience building production-grade ML systems that can be deployed and operated, including pipelines, CI and CD practices, and monitoring
Strong product mindset with the ability to translate ideas into working systems
Clear communication and collaboration skills across research, engineering, and product
A Master’s degree in computer science, engineering, mathematics, statistics, physics, or a related field, or equivalent professional experience

Job Responsibility

Design and build LLM-powered product features used in production
Develop agentic workflows and frameworks that coordinate multiple AI components
Implement RAG architectures using embeddings and vector search
Build systems for prompting, context engineering, and tool usage
Develop evaluation frameworks to measure LLM and agent performance
Work closely with product and platform teams to turn AI capabilities into reliable, scalable product features
Continuously improve system reliability, latency, and cost efficiency of AI pipelines

What we offer

Equipment provided by Corti

Fulltime

Senior Clinical Data Scientist - Applied Intelligence Solutions

We are seeking a Senior Clinical Data Scientist to join the Catalysts team, focu...

Location

United States , Seattle

Salary:

155000.00 - 170000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

Bachelor’s degree or equivalent experience in a quantitative or technical field such as computer science, data science, statistics, engineering, or a related discipline
Strong understanding of how large language models consume, retrieve, and reason over knowledge, and how to structure information so it can be used efficiently and reliably by intelligence systems
Solid understanding of healthcare problem spaces such as clinical research, HEOR, clinical trials, and healthcare operations, and the types of questions and decisions users need support with
Hands on experience using generative AI tools to synthesize, generate, and refine knowledge assets including guidance, templates, prompts, and structured explanations
Ability to design and prototype applied intelligence solutions for specific problem types by combining domain knowledge, templates, prompts, guardrails, and workflows
Comfortable writing and reviewing production quality analysis code (e.g., SQL, Python, or R) to prototype analyses, validate logic, and create reusable examples that intelligence and teammates can reuse
Create clear, reusable intelligence assets by synthesizing expert input or authoring directly, translate technical and domain specific concepts into guidance that is understandable and actionable for a wide range of audiences, and explicitly define exclusions and limitations where intelligence should not provide answers

Job Responsibility

Independently build small scale, concrete intelligence solutions for specific healthcare problems by creating the required knowledge assets, examples, reference analyses, and guardrails that allow intelligence to answer the right questions and respect clear boundaries, within current platform capabilities
Break down healthcare problems in areas such as clinical research, HEOR, and clinical trials into the concrete assumptions, decision points, and data considerations that intelligence needs to handle correctly
Create and maintain the domain knowledge, guidelines, templates, and decision logic that intelligence systems need in order to perform effectively in each problem domain
Shape how intelligence agents operate at a practical level by defining task breakdowns, decision logic, and required knowledge, working within current platform constraints
Work with domain experts and users to extract assumptions, heuristics, and expertise, and convert them into structured inputs that intelligence systems can reliably consume
Apply an understanding of how generative AI systems retrieve and reason over knowledge to improve correctness, safety, and consistency of intelligence outputs, using concrete examples and test questions
Define and validate constraints, exclusions, and limitations to ensure intelligence outputs are appropriate, trustworthy, and aligned with real world healthcare use
Work closely with colleagues across the Catalysts team, contributing domain expertise, intelligence design, and reusable assets into a shared knowledge base, and collaborating as peers on intelligence solutions rather than owning a separate execution pipeline

What we offer

Interesting and meaningful work for every career stage
Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)
Additional compensation such as incentive pay and stock options for certain roles

Fulltime

Senior AI Full Stack Engineer

The Early Clinical Development (ECD) department with our South San Francisco, CA...

Location

United States , South San Francisco

Salary:

Not provided

Revel IT

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
5+ years of full stack development experience
Strong proficiency in either a front-end framework (js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
4+ years experience with front-end frameworks (preferably js)
2+ years of developing and deploying AI/ML solutions or applications
Experience designing and developing RESTful APIs (with e.g. Python FastAPI)
Familiarity with prompt engineering
Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)
Strong automated software testing skills (Python unittest, jest, Playwright)
Familiar with Agile methodologies

Job Responsibility

Innovate and develop software applications to support clinical development
Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows
Design intuitive, user-centric interfaces
Code Quality and Documentation: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to best practices in software development
Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions
Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services
Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements

Senior Machine Learning Engineer

We’re hiring a Senior Machine Learning Engineer to help build the core AI system...

Location

United States , San Francisco

Salary:

230000.00 - 300000.00 USD / Year

Signify Technology

Expiration Date

Until further notice

Requirements

Strong experience building production AI systems around LLMs, OCR, and unstructured data workflows
Proven track record shipping applied AI products, not just prototyping models offline
Deep familiarity with modern LLM workflows including prompting, structured outputs, tool use, retries, fallbacks, guardrails, and model evaluation
Experience with document intelligence systems such as OCR pipelines, document extraction, classification, post-processing, and confidence-based review flows
Experience with voice or conversational AI, or adjacent systems involving transcripts, call automation, and conversational extraction
Strong proficiency in Python and comfort working in production codebases with APIs, queues, and backend services
Experience deploying and operating AI systems in AWS or similar cloud environments, including serverless or event-driven architectures
Strong instincts around evaluation, benchmarking, monitoring, and quality assurance for real-world AI systems
Ability to work across structured and unstructured data and design systems that are robust to noisy, incomplete, and ambiguous inputs

Job Responsibility

Build the core AI systems behind a next-generation healthcare platform that turns smartphone video into clinically accurate 3D models of human anatomy
Own the pipeline that bridges raw computer vision data and physical 3D-printed medical solutions, transforming noisy real-world scans into precise, CAD-compatible models used to improve patient outcomes
Work closely with engineers, researchers, and product leaders to design systems that translate cutting-edge ML research into reliable production technology used in healthcare

What we offer

Equity

Fulltime

Senior Software Engineer

Pine Park Health brings doctors and nurses to seniors where they live. We're bac...

Location

United States , Berkeley

Salary:

190000.00 - 215000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience
Deep full-stack fluency with modern web technologies (we use React, Remix, Node, TypeScript, Postgres, Prisma — depth of understanding matters more than framework-matching)
You've built a personal AI development workflow — configured tooling, custom prompts, sharp instincts for where the models excel and where they'll confidently lead you wrong
You function as a full owner: you scope the problem, manage the work, write the code, instrument the outcome, and close the loop
Especially strong fit if: You've been a founding engineer, tech lead, or staff engineer — someone who set technical direction, made architectural calls without a playbook, and owned the consequences
Startup experience where wearing many hats wasn't a novelty but a necessity
Healthcare technology, EHR integrations, or HIPAA-regulated environments
Value-based care, Medicare, or clinical workflow automation experience
Systems where correctness really mattered — finance, healthcare, infrastructure
Bonus points if you also bring depth in: Mobile development (iOS/Android or React Native)

Job Responsibility

60% product and 40% engineering
Receive a key business problem to solve, with specific test criteria
Own that problem all the way through
Shadow and interview doctors, nurses, medical assistants, and patients
Document their work, understand key struggles and bottlenecks, suggest ways software can help
Design a solution that involves operations, including building new workflows, design, and engineering
Collaborate with other team members to fill gaps
Rely heavily on AI tools and AI agents
Review code for team members with less experience

What we offer

Equity in a Y Combinator-backed Series B company with clear growth trajectory
Comprehensive medical, vision, and dental insurance for you and your dependents
Flexible spending accounts for health and dependent care expenses
401(k) retirement plan
Generous paid time off: Paid sick leave
8 weeks of paid parental leave
Monthly wellness allowance
Professional development funding
Team building through regular social events and offsites

Fulltime

Software Development Senior Specialist Advisor

The Software Development Senior Specialist Advisor role involves designing and i...

Location

Canada , Toronto

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years’ experience using Python-based AI systems
8+ years hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
Experience with traditional ML (classification, regression, NLP, time-series)
Full-stack experience (API design + UI integration) - 5+ Years
Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years
Experience working in regulated or compliance-heavy domains
Comfortable working with subject-matter experts
Strong learning mindset and adaptability
Experience building production AI systems, not just prototypes
Ability to explain AI decisions to non-technical stakeholders

Job Responsibility

Design and implement agent-based AI workflows for different domains such as: healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
Design agentic AI architectures for manufacturing workflows
Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
Implement RAG over financial documents, policies, contracts, and filings
Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
Implement HIPAA aware AI architectures with auditability and traceability
Implement GenAI systems using RAG over CRM, customer data, and content
Build full-stack applications (Python APIs, AI services, UI dashboards)
Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)

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Senior Prompt Designer – AI Clinical Products

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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