Senior Forward Deployment Engineer - Cheminformatics & AI Modelling

• Partner directly with scientists, product teams, and technical stakeholders to understand high-value problems and translate them into practical engineering solutions.

• Design, build, deploy, and improve software applications , agentic   solutions , MCP   server s and to ols   and services that support key scientific workflows in drug discovery.

• Prototype rapidly,   validate   with users, and evolve successful solutions into robust, scalable, production-grade systems.

• Bridge chemistry, cheminformatics, data, and engineering to deliver integrated solutions across scientific and technical workflows.

• Collaborate with product, design, data science, and scientific teams to build high-impact applications and services.

• Plan, implement, and support platform and infrastructure development with the   objective   of improving scalability, reliability, performance, and usability.

• Advocate for rigorous engineering practices and discipline, including code reviews, automated testing, logging, monitoring, documentation, and maintainability.

• Help develop and promote a strong software engineering culture across multidisciplinary teams.

• Stay on top of relevant technology trends, experiment with   new approaches ,   participate   in internal and external technology communities, and mentor other members of the engineering community.

• Work with modern technology stacks in cloud environments to support scientific software delivery.

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• Strong software engineering   expertise   in Python, including advanced object-oriented design and development of production-quality applications and services.

• Experience designing, building, and deploying scalable software systems, APIs, and services in production environments.

• Strong problem-solving and solution design skills, with the ability to translate complex scientific or business needs into practical software solutions.

• Experience working directly with users, stakeholders, or domain experts to gather requirements, refine use cases, and deliver deployed solutions.

• Ability to rapidly prototype solutions,   validate   them with users, and mature them into robust, maintainable production systems.

• Background in chemistry (PhD preferred ,   M asters   essent ial ), with experience in cheminformatics, chemistry toolkits, chemistry search, and related algorithms.

• Experience integrating systems, services, and data pipelines across complex technical environments.

• Experience with relational databases such as PostgreSQL or Oracle, and/or NoSQL technologies such as Elasticsearch.

• Experience in data analysis, including profiling, investigating, interpreting, and documenting data structures.

• Experience in performance tuning SQL and understanding ETL or data integration pipelines.

• Extensive experience troubleshooting data issues, analysing end-to-end data pipelines, and improving application or service performance.

• Good experience   in consuming or exposing web APIs.

• Experience designing, developing, and deploying production-grade scalable applications using container technologies like Docker and Kubernetes.

• Production experience delivering CI/CD pipelines using tools such as GitHub Actions,   ArgoCD , or similar.

• Experience creating and evaluating engineering architecture in the cloud.

• Excellent verbal and written communication skills for effective collaboration with engineers, testers, architects, product managers, scientists, and other stakeholders.

• Ability to work effectively in fast-moving and ambiguous environments, with ownership of delivery from problem definition through deployment and iteration.

The following skills would be   advantageous   for your application but are not considered essential:

• Experience working with AWS.

• DevOps experience, including deployment workflows and monitoring tools such as Grafana, Prometheus, and GitHub Actions.

• Working knowledge of Scrum or Agile delivery.

• Product ownership or technical leadership experience, with strong stakeholder communication and management.

• Exposure to AI/ML-enabled applications in production, particularly where these are embedded within broader scientific or engineering platforms.

• Development of   agentic s ystems,   MCP   s er vers or   tools

• Spe cification -driven develop ment

The annual base pay (or hourly rate of compensation) for this position ranges from $144,648.80 - 216,973.20 USD Annual. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.