We are currently looking for a Senior Full Stack Engineer to join our growing GenAI and Web Applications team. Reporting to the Engineering Manager, you'll work on complex projects, actively contribute to Conversational AI, back-end and front-end initiatives, and grow along with other engineers as you develop solutions for our software as a service (SaaS) products that help scientists save time and increase their experiment quality.

You Will:

Implement new features and bug fixes as part of a larger cross-functional team of data engineers, product managers, designers, and scientists
Work within your immediate team of 4-6 full-stack engineers to do technical investigations, solution designs, code implementation with automated tests, and code reviews
Lead or consult the authoring of engineering design proposals following our product roadmap at BenchSci
Leverage a deep understanding of the business context and the team’s goals to unlock independent technical decisions in the face of open-ended requirements
Proactively identify new opportunities (from both internal and external sources) and advocates for and implements improvements to the current state of projects
Adhere to and improve our high standards of highly scalable and maintainable code
Help set a high standard for exceptional engineers who are outcome-oriented and improve the team's culture
Be given an unmatched opportunity for accelerated growth and learn from a team of world-class engineers
Provide troubleshooting analysis and resolution in a timely manner
Work on projects involving some of the largest pharmaceutical companies in the world
Solve difficult problems and bring new perspectives to the team

You Have:

A degree in Computer Science/Engineering or a related field within science
High comfort working with a Python back-end and a React/Typescript front-end
4+ years of experience working as a professional full-stack developer
Solid understanding of relational databases and SQL (PostgreSQL, MySQL or similar)
Experience working with cloud platforms (AWS, GCP, Azure)
Excellent communication and collaboration skills
Strong problem-solving and analytical skills
Experience with Frontend and Backend testing frameworks (Jest, Cypress, PyTest, etc.)
Strong understanding of the Python and Typescript type systems

Nice to haves, but not mandatory qualifications:

Experience with Conversational AI and RAG solutions
Experience with authentication solutions and SSO
Experience with FastAPI
Experience with Data Pipelines
Experience with DevOps practices and tools
Ability and willingness to mentor other engineers

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