lead ai engineer scientific multi agent systems

Lead AI Engineer (Scientific Multi Agent Systems) Send CV Location : Remote: USA, Canada, Europe or UK Responsibilities : Design and build multi-agent systems that integrate scientific tools, computational workflows, MCP-compatible services, APIs, and cheminformatics libraries such as RDKit. Build containerized deployment pipelines (Docker) with proper observability (Langfuse), logging, and lifecycle management. Collaborate on the development of agent evaluation frameworks, including automated testing, benchmarking, and performance monitoring. Develop data preparation and engineering pipelines across structured, semi-structured, and unstructured sources, working alongside the data team's stack (Snowflake, Airflow, DBT, PostgreSQL, Oracle). Contribute to CI/CD workflows and maintain code quality through code reviews, modular design practices, and technical documentation. Follow architecture, security, and engineering patterns established by the team. What we expect : Strong Python software engineering. Experience building applications based on LLMs, tool-calling, and agent frameworks. Experience developing multi-agent or workflow-oriented AI systems. Experience with evaluation frameworks, automated testing, and performance benchmarking. Docker and containerized application development expertise. Comfortable working with databases and data engineering workflows. Ability to collaborate in a cross-functional scientific environment. Availability to work until at least 1:00 PM EST. Nice to have : Langfuse or another AI observability platform experience. Snowflake Cortex and/or Amazon Bedrock experience. AWS ECS/Fargate deployment experience. Data engineering stack experience: Snowflake, Airflow, DBT, Oracle. GitLab-based development practices experience. Experience in drug discovery / cheminformatics: RDKit, chemical structure analysis, assay data interpretation, scientific data visualization, retrieval over structured and unstructured research sources. We offer : Competitive compensation Flexible working hours Continuous education, mentoring, and professional development programs A team with an excellent tech expertise Contract through the end of the year, with a possible extension based on project needs and performance. If you don't see an open position that suits your skills stack and/or professional background but you are interested in working with us — please send your CV to [email protected] . We will try to find something special and interesting for you! Back to open job positions