Develop and deliver full-stack features for B2B scientific software, covering backend services and frontend interfaces.
Drive features from concept through to production while maintaining high standards of code quality, performance, and long-term maintainability.
Architect and manage scalable APIs and services using REST and gRPC protocols to integrate machine learning models into product functionalities.
Create and maintain data processing pipelines using core technologies including Python, SQL, and associated tools.
Build product layers on top of SDKs and model packages, providing feedback to improve interface design and functionality.
Define and enforce engineering best practices and architectural patterns for owned systems.
Lead technical design efforts for complex, cross-functional challenges with unclear requirements.
Support junior and mid-level engineers through code reviews, pair programming, and knowledge sharing.
Leverage AI-assisted coding tools such as opencode and Claude to increase development efficiency.
Contribute to the adoption and refinement of AI-native software development workflows within the engineering team.
Collaborate closely with Product Engineers and infrastructure specialists to ensure solutions meet scientific accuracy and customer needs.

Competitive salary and equity package

Remote (Worldwide) — remote, Paris

Screening: The hiring team will assess your application to evaluate alignment with required experience and technical qualifications.
Interview Process: Selected candidates will proceed to a multi-stage interview sequence, with possible variations in order or additional discussions as needed.
Hiring Manager (30 min): A discussion covering your professional background, technical expertise, and experience with coding and cloud platforms.
Case Study (45 min): You will complete a take-home assignment based on real product engineering tasks and present your approach and solution without live coding.
System Design (45 min): A live, candidate-led session focused on technical decision-making and product delivery, based on a realistic scenario involving model integration.
Culture Fit (30 min): A group conversation to explore your motivations, values alignment with the company’s mission, and final questions.
Offer: After interviews, the team will decide and communicate the outcome. Final offers depend on passing reference checks.
On-boarding: Upon acceptance and signing, onboarding procedures will begin to integrate you into the organization.

Direct reporting to the Head of Product, playing a key role in transforming foundation models into customer-facing products that advance AI in drug discovery and healthcare.
Opportunity to apply software engineering skills to real-world biological challenges, contributing directly to patient impact through cutting-edge AI models.
In addition to strong financial compensation, you will receive meaningful equity, aligning your success with the company’s long-term trajectory.
Fully flexible work setup with remote options, supporting work-life balance while driving innovation.
Substantial room for professional and leadership growth in a fast-moving field combining artificial intelligence and biology.

Full professional proficiency in English is required.
This role is open to candidates in multiple locations, including fully remote positions.
Applicants must submit an English CV to be considered.
Offer is contingent upon successful reference verification.

Bioptimus is hiring a Technical Lead, Product