Benchling

Benchling

Software Engineer, Agents

San Francisco, CA · Mid

Sponsorship not specifiedDetected 47 days ago
PythonReactData AnalysisLLMsAgentic AIA/B Testing

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We're a team focusing on shipping AI agents for scientists, helping them automate toil and accelerate breakthroughs.
  • Our agents automate many parts of scientific work that take hours to weeks today: designing experiments, capturing data, analyzing data, and writing complex reports.
  • It's early days for AI agents, both at Benchling and in the industry at large.

Responsibilities

  • Build end-to-end AI agents, prototyping and productionizing systems that automate scientific work, from experiment design to data analysis and reporting.
  • Engineer across the stack, from developing new LLM-powered primitives to shipping intuitive user interfaces inside Benchling's applications.
  • Shape how we build AI at Benchling, driving experimentation, contributing to technical direction, and helping evolve our engineering and product development practices as the field matures.
  • As an engineer on the team, you'll build these agents end-to-end, from designing the agent architecture to shipping intuitive interfaces for the agents within our scientific applications.

Requirements

  • Experience across the stack, comfort working with backend systems (Python or similar languages) and modern frontend frameworks (React or equivalent).
  • Strong product sense, with the ability to iterate quickly and refine solutions based on user feedback and data.
  • 3+ years of professional software engineering experience, building and maintaining production systems.
  • Curiosity and excitement about LLMs and AI agents, and a desire to shape how they can transform scientific research.
  • Collaborative mindset, able to work closely with engineers, product managers, and scientists to bring new ideas to life.
  • Desire to work in a fast-paced environment, where priorities can shift and rapid experimentation is encouraged.
  • Interest in learning about biotechnology (no prior knowledge required, just a willingness to learn and adapt).
  • This is an in-person team in San Francisco built around collaborating in the office in a fast-paced environment. We're in the office Monday through Friday.
  • Benchling welcomes everyone.
  • We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
  • We are an equal opportunity employer. That means we don't discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.

Skills

  • When a breakthrough is delayed, the world waits.
  • Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps.
  • AI has the potential to change this, compressing decades of R&D work into years.
  • But that only happens when clean, structured scientific data and AI are built into how science gets done.
  • Benchling is the AI platform for biotech R&D.

Company info

  • We are rebuilding biotech for the AI era.
  • We'll win if we stay curious and obsess over our customers.
  • Work directly with customers to ideate use cases, gather feedback, build evaluations, and onboard scientific teams.
  • We'll rapidly iterate with customers and change directions quickly, figuring out new patterns for how we develop and go to market.

This listing is sourced directly from Benchling's careers page and normalized into a canonical job model.