AI Solutions Engineer

About the CompanyBioptimus 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 OpportunityWe 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 DoingSDK 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. Who We’re Looking ForTechnical Proficiency: Advanced Python Proficiency: Demonstrated expertise in writing clean, well‑tested, and maintainable Python code. Cloud Deployment Expertise: Hands‑on experience deploying applications and machine learning models in cloud environments (AWS strongly preferred, GCP/Azure a plus), using containers (Docker, Kubernetes) and infrastructure‑as‑code principles. Software Engineering Fundamentals: A strong understanding of core computer science principles, data structures, and modern CI/CD workflows. Solution Design & Integration: Software Design & Architecture: A very good grasp of object‑oriented and functional software design principles, with the ability to reason about the trade‑offs between performance, simplicity, and modularity. SDKs and APIs: Experience working with and integrating third‑party SDKs and APIs (e.g., REST, gRPC) to build complex applications. Communication & Collaboration: Customer‑Facing Communication: Exceptional communication and interpersonal skills. You can explain complex technical concepts to diverse audiences (from PhD scientists to DevOps engineers) with clarity and empathy. Team‑First Attitude: Independent, curious, and 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 is required for this role.How to Stand OutYou have direct experience working in Pharma, Biotech, or Healthcare roles.You have previous experience in a customer‑facing technical role such as Solutions Engineer, Sales Engineer, Developer Advocate, or Technical Consultant.You have deep experience with the AWS ecosystem and services relevant to ML, such as SageMaker, EC2, S3, IAM, and VPC.You are familiar with deep‑learning frameworks like PyTorch or JAX, and libraries from the AI ecosystem like Hugging Face Transformers.You have worked with the lifecycle of AI models, including deployment, hosting, and optimization for low‑latency inference.You have experience contributing to and/or maintaining open‑source projects.You have experience in a startup or innovative environment, showing adaptability, proactiveness, and an eagerness to take on varied responsibilities.The Candidate JourneyTo be considered, please submit your CV in English. We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application:Screening: The hiring team will review your application to determine if your work experience and skills align with the necessary proficiencies of this position.Technical Assessment: A timed (1.5 hours) technical assessment on a dedicated platform, consisting of short Python exercises.Interview Process: A series of interviews including Hiring Manager, Technical (2 live‑coding interviews), and Culture Fit.Offer: If successful, the hiring team will make a final decision and contact you to discuss the offer.Onboarding: After acceptance, we will begin the onboarding process.Why This is a Unique OpportunityReporting to the Head of Product, you will have a critical role in shaping how our models are used and accessed by customers, helping them realize their vision of integrating state‑of‑the‑art AI foundation models 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.In addition to a competitive compensation package, you will have a meaningful stake in the company's future, ensuring your contributions are directly aligned with our long‑term value and success.Flexible work arrangements, including remote options, allowing you to maintain work‑life balance while making an impact.Significant opportunities for professional growth and leadership development in a rapidly evolving field at the intersection of AI and biology.LocationsThis role is open in multiple locations: Paris, London, and Berlin. Please apply to the location where you are primarily based or would 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, or marital, or disability status. Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates. We take responsibility for always striving to create an inclusive environment that makes every employee and candidate feel welcome. #J-18808-Ljbffr