Level

Benchling

Software Engineer, Agents

Benchling is hiring a Software Engineer, Agents for a remote role open to applicants in United States. It pays $194k-$265k a year and Level rates it ; you can apply on Benchling.

Level's read on this job

  • Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
  • Pay on this posting starts 16% higher than the typical software engineer posting on Level.
  • This is listed as a remote role.
  • The posting mentions LLMs, AI agents and full stack engineering among its tools and skills.
  • Benchling has 55 other open roles on Level.

AI in this role

Build end-to-end AI agents and systems to automate scientific workflows and data analysis for biotech R&D.

llms
ai-agentsfull-stack-engineeringpythonmachine-learning

We are rebuilding biotech for the AI era.

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. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.

We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today.

ROLE OVERVIEW

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. 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. It’s early days for AI agents, both at Benchling and in the industry at large. We’ll rapidly iterate with customers and change directions quickly, figuring out new patterns for how we develop and go to market. We’ll win if we stay curious and obsess over our customers.

 

RESPONSIBILITIES

  • Build end-to-end AI agents, prototyping and productionizing systems that automate scientific work, from experiment design to data analysis and reporting.

  • Work directly with customers to ideate use cases, gather feedback, build evaluations, and onboard scientific teams.

  • Engineer across the stack, from developing new LLM-powered primitives to shipping intuitive user interfaces inside Benchling’s applications.

  • Continuously improve our agent platform, contributing to frameworks, tooling, and infrastructure that accelerate future agent development.

  • 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.

 

QUALIFICATIONS

  • 3+ years of professional software engineering experience, building and maintaining production systems.

  • 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.

  • 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).

 

HOW WE WORK

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.

#LI-KW1

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.

How we rate this

Software Engineer, Agents at Benchling rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsFull Stack EngineeringPythonMachine learningLLMs

Also common in software engineer jobs at this level

Pay

This job starts at
$194k
Typical software engineer job
$168k

This posting starts 16% above the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where full stack engineering was part of your work. What did you do?
  3. Tell me about a project where python was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Walk me through how you've used LLMs in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI agents, Full Stack Engineering, Python, Machine learning, and LLMs. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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