CrawlJobs Logo

Staff AI Data Engineer

doctolib.fr Logo

Doctolib

Location Icon

Location:
France , Paris

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

We are looking for a Senior Data Engineer AI to join the AI team at Doctolib. As a Senior Data Engineer AI, your mission will be to build robust data pipelines - from data capture to monitoring - to power our AI systems and support our ambition to transform healthcare delivery. You will be embedded in the AI teams delivering AI-powered features to healthcare professionals and patients. Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.

Job Responsibility:

  • Design and implement data capture and ingestion systems ensuring data quality, privacy compliance (anonymization, consent, retention), and GDPR adherence
  • Build, optimize and maintain end to end data pipelines using Python, Dagster, BigQuery, SQL/Jinja, DBT
  • Enable AI model development by providing datasets for training, evaluation, and annotation workflows
  • Develop custom monitoring solutions including online metrics pipelines and dashboards (Amplitude, Metabase, Tableau) to track AI system performance
  • Collaborate with the Data Platform teams to optimize infrastructure, ensure scalability, and manage costs effectively

Requirements:

  • At least 7 years+ of experience as an Analytics Engineer, Data Engineer, or a similar role
  • Proficient in Python, SQL, and DBT for building data pipelines
  • Hands-on experience building data pipelines for AI/ML systems in production
  • Good understanding of ML model lifecycle (training, evaluation, deployment, monitoring)
  • First experience with Google Cloud Platform (GCP) stack
  • Strong collaboration skills and can work effectively with data science and engineering teams

Nice to have:

  • Experience with Vertex AI, MLflow, or similar ML platforms
  • Experience with AI model monitoring and observability tools
  • Worked with annotation platforms and labeling workflows
  • Experience with Cursor / Claude
  • Familiar with GDPR regulations
What we offer:
  • Free comprehensive health insurance for you and your children
  • Parent Care Program: additional 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 EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
  • Work Council subsidy to refund part of a sport club membership or a creative class
  • Up to 14 days of RTT
  • Lunch voucher with Swile card

Additional Information:

Job Posted:
January 06, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Staff AI Data Engineer

Staff Data Engineer

As a Staff Data Engineer, you will be responsible for designing, implementing, a...
Location
Location
United States
Salary
Salary:
210000.00 - 235000.00 USD / Year
crunchbase.com Logo
Spectra Infosystems Inc
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 6+ years of experience in data engineering, with a focus on building scalable data solutions
  • Strong proficiency in Python and SQL
  • Strong experience with data pipelines, ETL processes, and data warehousing
  • Strong background in developing end-to-end solutions in a production environment
  • Demonstrated leadership skills with the ability to guide and mentor team members
Job Responsibility
Job Responsibility
  • Technical Leadership: Design and evolve the core components of our data platform
  • Model-Ready Data Architecture: Architect data structures and pipelines optimized for advanced analytics, machine learning, and generative AI workloads
  • Cross-Functional Impact: Partner closely with engineering, product, and analytics teams to deliver seamless data integrations
  • Performance Optimization: Continuously improve data storage, processing, and retrieval
  • Innovation & Tooling: Stay current with emerging technologies and evaluate new approaches
  • Data Quality & Governance: Build and maintain robust data quality checks and contribute to strong governance standards
  • Mentorship & Culture: Coach and uplift other engineers
What we offer
What we offer
  • Remote-first flexibility
  • Comprehensive health benefits for you and your family, including medical, dental, and vision coverage (PPO, HDHP, and HMO options)
  • Continuous learning support through generous reimbursement for professional development
  • 401(k) and Roth plans with an annual financial adviser check-in
  • Wellness resources — including a monthly stipend to support physical and mental health
  • Work-from-home enablement — internet stipend and home office setup allowance
  • Charitable giving match through our Town Hall awards and community impact initiatives
  • Fulltime
Read More
Arrow Right

Staff Data Engineer

A VC-backed retail AI scale-up is expanding its engineering team and is looking ...
Location
Location
United States
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in software development and data engineering with ownership of production-grade systems
  • Proven expertise in Spark (Databricks, EMR, or similar) and scaling it in production
  • Strong knowledge of distributed computing and modern data modeling approaches
  • Solid programming skills in Python, with an emphasis on clean, maintainable code
  • Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
  • Excellent communicator who can influence and partner across teams
Job Responsibility
Job Responsibility
  • Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
  • Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
  • Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
  • Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives
What we offer
What we offer
  • Fully remote
  • great equity
Read More
Arrow Right

Staff Data Engineer

A VC-backed retail AI scale-up is expanding its engineering team and is looking ...
Location
Location
United States
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in software development and data engineering with ownership of production-grade systems
  • Proven expertise in Spark (Databricks, EMR, or similar) and scaling it in production
  • Strong knowledge of distributed computing and modern data modeling approaches
  • Solid programming skills in Python, with an emphasis on clean, maintainable code
  • Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
  • Excellent communicator who can influence and partner across teams
Job Responsibility
Job Responsibility
  • Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
  • Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
  • Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
  • Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives
What we offer
What we offer
  • Fully remote
  • great equity
Read More
Arrow Right

Staff AI Engineer

As a Staff AI Engineer on our AI Engineering team, you will be responsible for b...
Location
Location
India
Salary
Salary:
Not provided
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage
  • Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Expert-level Python skills for production AI systems
  • Strong experience building scalable backend systems, APIs, and distributed architectures
  • Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems
  • Agent Development
  • Prompt Engineering Excellence
  • System Integration
  • Evaluation & Quality Assurance
  • Performance Optimization
  • Cross-functional Collaboration
Read More
Arrow Right

Staff AI Engineer

As a Staff AI Engineer on our AI Engineering team, you will be responsible for b...
Location
Location
United States
Salary
Salary:
200000.00 - 280000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage
  • Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Expert-level Python skills for production AI systems
  • Strong experience building scalable backend systems, APIs, and distributed architectures
  • Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems
  • Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Develop and optimize prompting strategies
  • Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems
  • Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
  • Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows
  • Develop systems that maintain conversational context across complex multi-turn interactions
  • Build scalable large language model and agentic platforms
What we offer
What we offer
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • at least 10 paid holidays per year, flex PTO, and parental leave
  • employee assistance program and wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • FSA/HSA and medical, dental, and vision benefits
  • Fulltime
Read More
Arrow Right

Staff AI Innovation Engineer, Employee Experience

Architect the next generation of Airbnb’s internal operating system by designing...
Location
Location
United States
Salary
Salary:
180000.00 - 225000.00 USD / Year
airbnb.com Logo
Airbnb
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years in product management, AI engineering, and/or platform architecture, with hands-on experience building and launching AI/ML-powered products
  • Proven 0→1 builder with extensive experience developing GenAI prototypes, tools, and platforms from scratch
  • Ability to produce functional prototypes (using Claude Code or similar) within hours and stakeholder-ready demos within days
  • Strong systems-thinking skills with the ability to map complex workflows, diagnose root causes, and design buildable solutions
  • Expertise in prompt engineering, context orchestration, and adapting LLM behavior to different users, workflows, and decision contexts
  • Data-informed decision-maker who can define success criteria, measure ROI, and refine models and workflows
  • Skilled in communicating technical concepts to non-technical audiences
  • Highly collaborative, systems-oriented, and adept at connecting dots across people, tools, and processes
  • Strong visual and narrative communication skills (Figma, Miro, slideware)
  • Portfolio of prototypes or relevant 0→1 work preferred but not required
Job Responsibility
Job Responsibility
  • Translate employee and manager workflows into well-defined AI product opportunities
  • Rapidly prototype and test working solutions (LLM agents, workflow automations, microapps, embedded tools, etc.)
  • Architect systems integrations across our HR tech stack (Workday, Greenhouse, Qualtrics, Airtable, RightAnswers, Asana, and more)
  • Lead discovery sessions with stakeholders to uncover automation and augmentation opportunities
  • Evaluate third-party AI tools and determine build vs. buy options
  • Design and execute fast-cycle pilots across knowledge management, decision support, communications, and resource planning
  • Define success metrics, measure impact, and iterate based on user feedback
  • Translate complex AI architectures into clear narratives that help stakeholders understand value and adoption paths
  • Ensure alignment with Airbnb’s privacy, security, and ethical AI guardrails
  • Continuously evolve EX’s AI strategy as organizational needs and technologies shift
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Employee Travel Credits
  • Fulltime
Read More
Arrow Right

Staff Applied AI Engineer

A rapidly growing venture-backed startup is on a mission to transform how people...
Location
Location
United States
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • STEM degree from a top school (bonus points for Masters or PhD)
  • 5+ years of hands-on experience applying AI/ML techniques to real-world, user-facing products
  • Strong software engineering background with a track record of shipping at scale
  • Experience tuning and deploying LLMs
  • Comfortable moving quickly, testing new approaches, and balancing experimentation with reliability
Job Responsibility
Job Responsibility
  • Build and refine AI-driven product features that feel intuitive and responsive
  • Apply data from real users to personalise interactions and improve predictive performance
  • Experiment with model fine-tuning, retrieval methods, and feedback loops to maximise accuracy
  • Develop specialised AI-powered workflows that simplify complex technical tasks
  • Collaborate with engineers and product leaders to ship enhancements rapidly and iteratively
What we offer
What we offer
  • meaningful equity on offer
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

As a Staff AI Engineer you will get to play with petabyte data gathered from a m...
Location
Location
Salary
Salary:
Not provided
balbix.com Logo
Balbix
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D./M.S. in Computer Science or Electrical Engineering with hands-on software engineering experience
  • 5+ years of experience in the field of Machine Learning and programming in Python
  • Expertise in programming concepts and building large scale systems
  • Knowledge of state-of-the-art algorithms combined with expertise in statistical analysis and modeling
  • Robust understanding of NLP, Probabilistic Graphical Models, Deep Learning with graphs structures, model explainability, etc.
  • Foundational knowledge of probability, statistics and linear algebra
Job Responsibility
Job Responsibility
  • Design and develop an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure and policies in an enterprise environment
  • Design and implement algorithms for statistical modeling of enterprise cybersecurity risk
  • Apply data-mining, AI and graph analysis techniques to address a variety of problems including modeling, relevance and recommendation
  • Build production quality solutions that balance complexity and performance
  • Participate in the engineering life-cycle at Balbix, including designing high quality ML infrastructure and data pipelines, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams
  • Drive the architecture and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and ScikitLearn
  • Fulltime
Read More
Arrow Right