Member of Technical Staff, Applied AI Engineer

Edison Scientific
Location
San Francisco
Job Type
Full-time
Posted
October 8, 2026

Job Description

ABOUT US

Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.

ABOUT THE ROLE

We're looking for an Applied AI engineer to join the team responsible for building Edison's AI agents. This team owns the development and design of our AI scientist agent, Kosmos.

You'll own the development and maintenance of production agents, prototype new capabilities with our internal science and engineering teams, and shape how our platform evolves. You'll spend some time with customers to understand real workflows and validate what you're building, but your primary focus is on the agents themselves – making them more capable, more reliable, and more useful across the life sciences.

KEY RESPONSIBILITIES

  • Architect, implement, and maintain the AI agents that power Edison's platform, from prototype through production.
  • Work with our internal science and engineering teams to explore new agent architectures, prompting strategies, tool integrations, and evaluation frameworks.
  • Develop reusable infrastructure – agent skills, tool-use pipelines, benchmarks – that improves every agent on the platform.
  • Spend time with R&D partners (~30%) to understand their workflows, test what you've built in real environments, and bring insights back to the team.
  • Translate field insights and internal research into product direction – help the team prioritize what to build next.

REQUIRED QUALIFICATIONS

  • Typically, 4+ years of professional software engineering experience, with production experience shipping systems that real users depend on.
  • Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
  • Strong engineering foundation in Computer Science, Software Engineering, Mathematics, Physics, Data Science, or a related technical field.
  • Proficiency in Python and/or TypeScript, with comfort picking up new tools and frameworks quickly.
  • Able to work across engineering, science, and product teams.
  • Comfortable building from scratch, driving clarity in ambiguous situations, and wearing multiple hats.

PREFERRED QUALIFICATIONS

  • Experience in life sciences, biomedical research, scientific computing, or technical R&D workflows.
  • Experience building agent systems, tool-use pipelines, or evaluation/benchmarking frameworks for AI applications.
  • Contributions to open-source scientific or AI tooling.

WHY JOIN US?

We're a fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it. We also offer full-time employees the following:

  • Competitive salary and equity
  • Full healthcare coverage; we pay 100% of premiums for you and your dependents
  • Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
  • Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability
  • 12 weeks of paid parental leave for maternity, paternity, and adoption
  • Pet care support with a yearly employer-funded stipend for your animal companions
  • Commuter benefits so you can pay for transit and parking with pre-tax dollars
  • 401(k) company matching
  • $300 health and wellness benefit quarterly
  • Lunch is on us every day you're in the office, and dinner is on us when you're working late
  • Regular team off-sites and company events

ABOUT US

Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.

ABOUT THE ROLE

We're looking for an Applied AI engineer to join the team responsible for building Edison's AI agents. This team owns the development and design of our AI scientist agent, Kosmos.

You'll own the development and maintenance of production agents, prototype new capabilities with our internal science and engineering teams, and shape how our platform evolves. You'll spend some time with customers to understand real workflows and validate what you're building, but your primary focus is on the agents themselves – making them more capable, more reliable, and more useful across the life sciences.

KEY RESPONSIBILITIES

  • Architect, implement, and maintain the AI agents that power Edison's platform, from prototype through production.
  • Work with our internal science and engineering teams to explore new agent architectures, prompting strategies, tool integrations, and evaluation frameworks.
  • Develop reusable infrastructure – agent skills, tool-use pipelines, benchmarks – that improves every agent on the platform.
  • Spend time with R&D partners (~30%) to understand their workflows, test what you've built in real environments, and bring insights back to the team.
  • Translate field insights and internal research into product direction – help the team prioritize what to build next.

REQUIRED QUALIFICATIONS

  • Typically, 4+ years of professional software engineering experience, with production experience shipping systems that real users depend on.
  • Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
  • Strong engineering foundation in Computer Science, Software Engineering, Mathematics, Physics, Data Science, or a related technical field.
  • Proficiency in Python and/or TypeScript, with comfort picking up new tools and frameworks quickly.
  • Able to work across engineering, science, and product teams.
  • Comfortable building from scratch, driving clarity in ambiguous situations, and wearing multiple hats.

PREFERRED QUALIFICATIONS

  • Experience in life sciences, biomedical research, scientific computing, or technical R&D workflows.
  • Experience building agent systems, tool-use pipelines, or evaluation/benchmarking frameworks for AI applications.
  • Contributions to open-source scientific or AI tooling.

WHY JOIN US?

We're a fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it. We also offer full-time employees the following:

  • Competitive salary and equity
  • Full healthcare coverage; we pay 100% of premiums for you and your dependents
  • Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
  • Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability
  • 12 weeks of paid parental leave for maternity, paternity, and adoption
  • Pet care support with a yearly employer-funded stipend for your animal companions
  • Commuter benefits so you can pay for transit and parking with pre-tax dollars
  • 401(k) company matching
  • $300 health and wellness benefit quarterly
  • Lunch is on us every day you're in the office, and dinner is on us when you're working late
  • Regular team off-sites and company events

Edison Scientific is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The job is located in San Francisco at Edison Scientific. While the posting does not explicitly state a remote or hybrid policy, it notes that lunch is provided every day you are in the office, indicating an on-site presence is required.
What are the key responsibilities of this role?
You will architect, implement, and maintain production AI agents, and collaborate with internal teams on new architectures and evaluation frameworks. You will also develop reusable infrastructure and spend about 30% of your time with R&D partners to understand workflows and test what you have built.
What qualifications and experience do I need to apply?
You typically need 4+ years of professional software engineering experience, including production experience shipping user-facing systems. You must have experience building LLM-powered tools, a strong engineering foundation in a technical field, proficiency in Python and/or TypeScript, and the ability to work across engineering, science, and product teams.
What benefits and perks does Edison Scientific offer?
Benefits include competitive salary and equity, 100% employer-paid healthcare premiums for you and dependents, 12 weeks of paid parental leave, a new parent stipend, Carrot fertility coverage, Rula mental health support, a pet care stipend, commuter benefits, 401(k) matching, a $300 quarterly wellness benefit, and daily office lunch.

Ready to Apply?

Apply for this Position

You'll be redirected to the company's application page

Share this job:

Job Information

Source: ashby
AI Relevance: 88/100 (Highly relevant)
Remote Type: onsite
Experience: Senior
Allowed Locations: Worldwide
Explore related roles:

Get Similar Jobs by Email

Weekly digest of Edison Scientific and similar companies. Free.

Related Jobs

Apply for this Position

Get weekly job alerts