ArcaScience | Paris 13e (Future4Care) | Hybrid, 2-3 days remote/week | CDI, Cadre | 70K-80K€+var
Who We Are
ArcaScience is a leading French AI startup using biomedical data to predict a drug's risk and efficacy before it reaches the patient, then re-evaluate that risk once patients are taking it. Our impact is concrete: accelerating drug development and helping patients get the right drug.
We run our own AI models that analyze the benefit-risk profile of molecules for specific pathologies and patient groups, and tomorrow, individual patients. We are significantly accelerating our three-year growth and global expansion from the Future4Care healthtech hub.
The Role
We are hiring one Tech Lead to own our AI SaaS platform end to end, from a high-traffic, secure product surface down to the NLP models and data pipelines that power it.
You will lead a cross-functional team (fewer than 10 engineers and ML/Data engineers), set technical direction across full-stack and ML, and stay close enough to the code to ship. You will work daily with scientists, biologists, product, and regulatory.
This is not two jobs bolted together: the best AI products come from one person who can reason from the user-facing feature down to the model that powers it.
What You'll Own
Platform & Product (Full-Stack SaaS)
- Ship scalable, maintainable features across the stack (React, Node.js, Python).
- Architect for high traffic, speed, and scalability, with security and compliance built in by design.
- Stay product-oriented: ship valuable features fast to hit short time-to-market.
AI / ML & Data
- Train and improve NLP models: classification, named entity recognition (NER), relation and text extraction, entity linking, standardization, aggregation.
- Own the full NLP/ML lifecycle: training, evaluation, deployment, monitoring.
- Run MLOps with tools like MLflow, Langfuse, and LiteLLM (experiment tracking, observability, cost control, validation automation), and integrate LLM APIs into production.
Pipelines & Reliability (SRE / DevOps)
- Own the data pipelines behind delivery, handling hundreds of daily workflows over millions of biomedical documents.
- Ensure high availability and performance in production, and drive data quality and compliance to strict medical standards.
Leadership
- Manage, mentor, and grow the team; deliver solutions aligned with business goals.
- Communicate clearly with technical and non-technical stakeholders (CTO, product, regulatory, customers).
What Success Looks Like
In your first year: platform and pipelines mapped and shipping faster, a clean MLOps loop in place (tracking, observability, evaluation), measurable gains in model quality and delivery speed, a grown team, and benefit-risk analysis moving toward real-time. We value judgment over heroics: what to ship now, what to defer, what to cut.
Must-Have Qualifications
We want a strong full-stack SaaS engineer with a real ML track record, not five specialists in one. Full-stack depth and hands-on NLP are the non-negotiable core; the rest is learnable on the job.
- Degree in Computer Science / Engineering or equivalent, with 8+ years in software engineering including high-traffic SaaS platforms.
- Strong full-stack experience: a modern front-end (React preferred, Vue or Angular accepted) plus Node.js and Python backends.
- 3+ years of professional Python.
- A genuine AI/ML track record: you have personally trained and shipped NLP models (NER, extraction, classification, standardization), not just consumed APIs.
- Hands-on MLOps: experiment tracking and LLM observability (MLflow, Langfuse, LiteLLM, or equivalents).
- REST, NoSQL, DevOps fundamentals, cloud (AWS, GCP, or Scaleway), and containerization (Docker, Kubernetes).
- Git, plus a real understanding of accessibility and security/compliance.
- Product orientation: a demonstrated ability to ship the right thing fast.
- Excellent English (French a plus) and proven team leadership.
Strong Pluses
- Our data stack: FastAPI, SpaCy, Spark NLP, Airflow, S3, PostgreSQL, Elasticsearch, Qdrant.
- IaC and CI/CD: GitLab CI, Terraform, Ansible, AWS EKS.
- Regulated/high-compliance experience (medical, pharma, fintech), Agile and TDD, vector search/RAG and LLM extraction pipelines.
What We Offer
- A multicultural team of engineers, scientists, and biologists, and a broad mandate: own product and ML, not a narrow slice.
- Hybrid flexibility (2-3 days remote/week) from Future4Care in Paris 13e.
- Package: 70K-80K€ gross/year, plus 13th month, performance bonuses, RTT, daily transport coverage, work-from-home allowance.
- Onboarding and training in Pharmaceutical Sciences or AI, tailored to your background.
Hiring Process
- 30-45 min intro call with Our CTO
- Online technical and personality assessment.
- Operational interview with an ArcaScientist and/or a team meal.
- Final on-site interview to review the test and meet executives.
- Welcome aboard.
Job Type: Full-time
Pay: 75.00€ - 80.00€ per year
Education:
Work Location: Hybrid remote in Paris 13e (75)