Scispot

Key Responsibilities:

This is a hands on technical role. Candidate should be proficient in Java, Python and React

• Develop full stack automation for AI pipelines, ETL
• Develop unit test automation
• Develop white box testing automation
• Develop evals for AI pipelining
• Translate customer needs into clear, actionable product specs.
• Act as the main liaison between Engineering, Design, and Customer Success to sign off every release
• Identify latency issues in application, backend and address them
• Test Fast APIs
• Develop technical specifications for functional requirements using prompt engineering
• Familiarity with AI tools for product engineering from design, development to sign off
• Generalist who will lead the releast lifecycle at a fast growing startup
• Be comfortable with prompt engineering to create clear acceptance criteria for every release.
• Set up and manage automated QA/QC pipelines (test automation, CI/CD).
• Define and document processes to boost product delivery and quality.
• Track execution across teams and keep timelines on point.
• Define and run evaluations for our AI scientist agent to perform ELT tasks.
• Design metrics and tests for AI agent accuracy, speed, and reliability.

Required Skills:

• Strong grasp of the software development lifecycle and QA best practices.
• Hands-on with CI/CD tools (GitHub Actions, CircleCI, GitLab CI).
• Experience with test automation frameworks (Cypress, Playwright, Selenium).
• Ability to write simple scripts (Bash, Python) and configure YAML pipelines.
• Proven skill in evaluating AI agents and their performance.
• Excellent cross-functional communication and organization skills.

Preferred Experience:

• Background in Product Ops, Technical Program Management, or DevOps-focused roles.
• Prior work in a SaaS or high-growth startup.
• Familiarity with monitoring and alerting tools (Sentry, Datadog).

Join us in shaping the future of lab automation. Become part of our mission to turn every lab into an AI powerhouse.