AI Solutions Engineer

AI Solutions Engineer Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. With more than $75M in funding, Bioptimus is a fast‑growing start‑up headquartered in Paris, incorporated in October 2023. Backed by leading international venture capitalists, our world‑class team of scientists and engineers is redefining the frontiers of AI and life sciences. The Opportunity We are seeking a customer‑focused Solutions Engineer to be the trusted technical partner for our customers. You'll bridge our groundbreaking foundation model with scientists and engineers solving real‑world biological challenges. Combining software engineering expertise with strong communication skills, you'll guide customers from onboarding to deployment, helping them integrate our SDK and model into their cloud environments. As the voice of the customer, you'll channel feedback directly to our Product and R&D teams to shape our platform’s future. What You’ll Be Doing SDK Design and Development: design and implement intuitive, high‑quality, and well‑documented Python SDKs for our ML/AI models. API Management: develop and maintain the APIs that serve as the interface for both internal teams and external partners to use our ML/AI models. Customer Enablement & Solution Architecture: Partner with customers to understand their scientific and technical goals. Design and implement robust solutions, guiding them on best practices for integrating our SDK and deploying our foundation model within their cloud infrastructure (AWS, GCP, Azure). Technical Onboarding & Support: Lead the technical onboarding for new customers, providing hands‑on coding support, workshops, and troubleshooting. Ensure a world‑class developer experience to accelerate customer success. Deployment & Integration: Master and advise on modern cloud deployment patterns using containers (e.g., Docker) and cloud images. Help customers integrate with their MLOps pipelines and data workflows. Voice of the Customer: Act as the primary technical point of contact for our users. Systematically gather customer feedback, identify pain points, and translate them into clear requirements for our Product development teams. Customer‑Facing Assets: Build and maintain high‑quality technical documentation, tutorials, code samples, and reference architectures. Empower our customers to use our technology effectively and independently. Cross‑Functional Collaboration: Work intimately with the Product, R&D, and Business Development teams to align our product roadmap with customer needs. Provide technical expertise during pre‑sales conversations. Qualifications Technical Proficiency: Advanced Python proficiency – demonstrated expertise in writing clean, well‑tested, and maintainable code. Cloud deployment expertise – experience deploying applications and ML models in cloud environments (AWS strongly preferred, GCP/Azure a plus), using containers (Docker, Kubernetes) and infrastructure‑as‑code principles. Software engineering fundamentals – strong understanding of core CS principles, data structures, and modern CI/CD workflows. Solution Design & Integration: Software design and architecture – solid grasp of object‑oriented and functional design principles, with ability to reason about performance, simplicity, and modularity. SDKs and APIs – experience working with and integrating third‑party SDKs and APIs (REST, gRPC) to build complex applications. Communication & Collaboration: Customer‑facing communication – exceptional interpersonal skills; can explain complex technical concepts to diverse audiences (from PhD scientists to DevOps engineers) with clarity and empathy. Team‑first attitude – independent, curious, detail‑oriented, thrives in a dynamic environment, and is fun to work with. Education: MSc or equivalent experience in Computer Science or a related technical field. Languages: Full professional fluency in English. How to Stand Out Direct experience working in Pharma, Biotech, or Healthcare roles. Previous experience in a customer‑facing technical role such as Solutions Engineer, Sales Engineer, Developer Advocate, or Technical Consultant. Deep experience with the AWS ecosystem and services relevant to ML (SageMaker, EC2, S3, IAM, VPC). Familiarity with deep‑learning frameworks like PyTorch or JAX, and libraries from the AI ecosystem such as Hugging Face Transformers. Experience with the lifecycle of AI models, including deployment, hosting, and optimization for low‑latency inference. Experience contributing to and/or maintaining open‑source projects. Experience in a startup or innovative environment, showing adaptability, proactiveness, and an eagerness to take on varied responsibilities. Candidate Journey To be considered, please submit your CV in English. Screening – hiring team reviews your application to determine alignment with proficiencies. Technical Assessment – timed 1.5‑hour Python exercise on a dedicated platform, followed by live coding interviews. Interview Process – series of interviews (Hiring Manager, Technical, Culture Fit). Advances adaptively, may include additional conversations. Offer – final decision, contingent upon reference check. Onboarding – begin process of onboarding after acceptance and offer signing. Why This is a Unique Opportunity Reporting to the Head of Product, you will shape how our models are accessed by customers, helping realize integration into Drug Discovery and Healthcare. Apply your software engineering expertise to benefit patients through our Foundation Models for Biology, directly contributing to our mission to understand biology and create lasting impact for patients living with disease. Competitive compensation package, meaningful equity stake aligning contributions with long‑term value. Flexible work arrangements, including remote options to maintain work‑life balance. Significant opportunities for professional growth and leadership development in a rapidly evolving field at the intersection of AI and biology. Please note This role is open in multiple locations – Paris, London, and Berlin. Apply to the location where you are primarily based or prefer to work. We believe that the unique contributions of all Bioptimists create our success. To ensure that our culture continues to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, or disability status. Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates. #J-18808-Ljbffr