Level

Owkin

Software Engineer

Owkin is hiring a Software Engineer for a remote role open to applicants in France. Level rates it ; you can apply on Owkin.

Level's read on this job

  • Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
  • This is listed as a remote role.
  • The posting mentions Claude, Databricks and Claude Code among its tools and skills.
  • Level classes it as a senior role.
  • Owkin has 6 other open roles on Level.

AI in this role

Design and build agentic AI products and systems for biomedical research as part of a multidisciplinary engineering team.

claudedatabricksclaude-codellmspython
llm-integrationfine-tuningagentic-aimachine-learningsoftware-engineering
About us

Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have failed.
Owkin builds K Pro - an AI scientist for pharmaceutical research and strategic decision-making. K Pro orchestrates a suite of AI skills and tools to decode complex biology, accelerate research, and dramatically increase productivity.
K Pro is built on Owkin’s unrivalled multimodal patient data network, state-of-the-art AI for biology and a decade of experience working with pharmaceutical partners.

Position is based in our Paris office or remotely in France, UK, Germany.

Please submit your CV in English

About the role:

 As a Software Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering practices with cutting-edge AI technologies. You'll be working on a real-time system that integrates LLMs, tool-calling, and interactive UI elements, making sure our users can seamlessly engage with complex domain specific data.

This role requires balancing traditional engineering principles with innovative approaches when integrating LLMs and AI throughout our technology stack. If you love building and refining a dynamic product, this role is for you.

Your seniority and experience will be crucial in guiding the multidisciplinary team to make strategic decisions and empowering team members.

 

In particular, you will:
  • Collaborate within a multi-disciplinary team of product managers, designers, software engineers, machine learning and biomedical scientists.

  • Design, build, and maintain scalable, reliable AI systems.

  • Drive technical decisions and provide context-aware solutions for AI systems in biological research.

  • Leverage and pioneer evaluation methodologies to ensure continuous product improvement.

  • Experiment with cutting-edge industry solutions—orchestration patterns, fine-tuning, specialized monitoring, feedback loops, etc.

  • Lead core stack component development focusing on sustainability, scalability, security, reliability, and performance.

  • Foster team growth by sharing expertise and mentoring colleagues through code reviews, technical discussions, and knowledge sharing. 

  • Participate in a team wise shared on-call rotation.

 

Example of scope:

  • Lead Agent Development: Drive the development of Owkin agents and actively contribute to the core components of our platform, "K-Pro."

  • Optimize Analytical Workflows to feed the agents with the data they need when they need it — e.g. analytical DBs (DuckDB), distributed computing (AWS Athena, Trino, etc), integration with data platforms (Snowflake, Databricks, etc).

  • Deployment and Integration: Manage the seamless integration and deployment of agents within Owkin's broader Data Platform infrastructure.

 

About you

Required qualifications / experience:

  • You’re driven by impact — excited to empower biomedical researchers with intuitive, AI-driven tools that unlock scientific discovery.

  • Strong collaborative skills with an open, pragmatic mindset; you thrive in multidisciplinary environments that involve people with diverse backgrounds.

  • Clear and effective communicator who can translate technical complexity into actionable decisions for the team.

  • Deep understanding of system architecture, infrastructure design, and building resilient distributed systems - including complex analytical workflows.

  • Extensive experience with production environments: continuous deployment, high availability, observability, and security.

  • Curiosity and ideally hands-on experience with AI systems — from integrating LLMs to evaluating their performance in real-world workflows.

  • Passion for user experience and product thinking: you consider not only the system’s internals but how the end user interacts with and benefits from your work.

  • Proficiency with Claude Code and other AI software engineering tools

  • Fluent English, both written and spoken.

  • Stack: Python, Kubernetes, AWS 

Preferred qualifications/bonus:

  • Experience working with spatial transcriptomics data.

  • Knowledge of different technologies for distributed computing, databases, and serialization.

  • Front-end development experience (although the position is mostly back-end oriented)

  • Direct experience with data orchestration tools such as Apache Airflow.

#LI-MD1 

 

What we offer
  • Flexible work organization

  • Friendly and informal working environment

  • Opportunity to work with an international team with high technical and scientific backgrounds

Recruitment Process & Security
  • Please complete the form and submit your CV.

  • Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.

  • Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:

  • Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn.

  • Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse).

  • The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com.

  • The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;

  • Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger

  • Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format.

If you think that you have been a victim of fraud,

How we rate this

Software Engineer at Owkin rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LLM IntegrationFine-tuningAgentic AIMachine learningSoftware EngineeringClaudeDatabricksClaude Code

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How have you integrated a large language model into a production application?
  2. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  3. Tell me about a project where agentic ai was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where software engineering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: LLM Integration, Fine-tuning, Agentic AI, Machine learning, and Software Engineering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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