Software Engineer (Mid to Sr Levels)
Tasks
- Build and extend internal laboratory tools
- Collaborate with scientists and operations teams
- Design and implement AI augmented workflows
- Design build and maintain full stack scientific platform components
- Develop and scale data processing pipelines
- Develop backend and infrastructure components
- Improve system reliability with testing monitoring CI CD
- Integrate lab automation equipment and external systems
Perks/Benefits
- AI-assisted development exposure
- Cross-functional collaboration
- Equity opportunities
- Professional growth
- Remote flexibility
Skills/Tech-stack
AI workflows | API | Agentic Systems | CI/CD | Cloud services | Data pipeline | Database | Distributed Systems | Infrastructure as Code | JSON | LLM | Monitoring | Python | SQL | Testing | “as-code”
Education
N/A
Roles
Engineer | Full Stack | Full Stack Engineer | Software Engineer
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