As a Software Engineer, you will develop features for SaaS products, collaborate on technical designs, write clean code, and troubleshoot production issues.
We are currently looking for a Software Engineer, Gen AI & Web Apps to join our team.
Reporting to the Engineering Manager, you'll work on complex projects, actively contribute
to 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.
Pay range: $100,000 - $125,000
We know compensation is an important part of choosing your next role. The range shown reflects our target hiring range, informed by market data, internal equity, and the role’s current scope. Often the mid-range is where we tend to fall, but individual offers may vary based on experience, skills, and the role scope.
You Will:
- Develop and ship new features and bug fixes within a cross-functional team of data engineers, PMs, and AI scientists.
- Collaborate closely with your immediate team (3–5 engineers) on technical investigations, solution designs, and high-quality code implementation.
- Build and maintain robust web applications that integrate with LLMs and generative AI workflows.
- Write clean, tested code that adheres to our standards for scalability and maintainability.
- Participate in code reviews, providing and receiving constructive feedback to ensure high engineering quality.
- Assist in troubleshooting and resolving production issues in a timely and efficient manner.
- Contribute to projects serving some of the world’s largest pharmaceutical companies, ensuring data security and reliability.
- Actively learn from world-class engineers to rapidly accelerate your technical and professional growth.
You Have:
- Proficiency in building full-stack applications using a Python/Django back-end and a React/TypeScript front-end.
- 2+ years of experience as a professional full-stack developer(adjusted from 4+).
- Foundational understanding of GenAI concepts (e.g., prompting, RAG workflows, or interacting with LLM APIs).
- A proactive mindset—you are comfortable asking questions and digging into complex problems to find the right solution.
Nice To Have:
- Experience with authentication flows and SSO (e.g., OAuth, SAML).
- Prior exposure to vector databases or AI orchestration frameworks like LangChain or LlamaIndex.
- Experience working in a regulated industry (HealthTech, FinTech, etc.).
Benefits and Perks:
* A great compensation package that includes BenchSci equity options
* A robust vacation policy plus an additional vacation day every year
* Company closures for 14 more days throughout the year
* Flex time for sick days, personal days, and religious holidays
* Comprehensive health and dental benefits
* Annual learning & development budget
* A one-time home office set-up budget to use upon joining BenchSci
* An annual lifestyle spending account allowance
* Generous parental leave benefits with a top-up plan or paid time off options
* The ability to save for your retirement coupled with a company match!
About BenchSci:
BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at top pharmaceutical companies and leading academic centers.
Our Culture:
Our culture fosters transparency, collaboration, and continuous learning.
We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible.
Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to [email protected].
Top Skills
Django
Python
React
Typescript
BenchSci Toronto, Ontario, CAN Office
25 York St, Suite 1100, Toronto, Ontario , Canada, M5J 2V5
Similar Jobs
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Operationalize and embed a modern PDLC and departmental operating model for the Canada Solutions team; implement governance and reporting, drive adoption, prepare leadership updates, align product strategies, and accelerate decision velocity and time-to-market.
Top Skills:
AgileLeanPowerPointSafeScrum
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Lead solution architecture efforts to reverse-engineer legacy systems (often C# or Delphi), document architectures, design target-state and migration strategies, and guide implementation and POCs to modern, scalable cloud solutions while aligning technical decisions with business goals.
Top Skills:
C#CloudDelphi
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The role involves leading 3D modeling projects for Bitmoji avatars, ensuring high-quality artistic output, and mentoring team members.
Top Skills:
MayaPhotoshopSubstance PainterZbrush
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.



