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Staff Software Engineer - Applied AI

Cortex LogoCortex


Date Posted

11 Nov, 2024

Work Location

United States

Salary Offered

$225000 — $275000 yearly

Job Type

Full Time

Experience Required

6+ years

Remote Work

Allowed

Stock Options

No

Vacancies

1 available


🧠 About Cortex

Cortex is the internal developer portal that cuts noise for developers with paved paths to production. Companies like Dropbox, Adobe, and Docker use Cortex to catalog, score, and assign action to improve service quality and velocity, so devs can get back to work that drives the business forward. 

📍Location

We’re fully remote and welcome candidates from anywhere in the US! We have all-company offsites a few times a year where we fly the whole team out to meet in person, build stronger relationships, kick off important projects, and have fun!

🤝 The Team

We are a mighty group of ~90 passionate individuals excited about building a product that developers love. We recently raised $60M in Series C funding this year led by Scale Ventures (with participation from Sequoia, IVP, and others) to build the future of developer experience. You can read more about it here.

💼 Job Summary

We are seeking a Staff Software Engineer - Applied AI to join our team. As the Staff Software Engineer - Applied AI, you will be responsible for owning the end-to-end application of AI while working closely with Product and Engineering teams to proactively identify how AI can be used to improve every existing feature.

💻 Responsibilities

  • Collaborate closely with Product, Engineering, and Go-to-Market teams to identify opportunities for AI applications that improve the functionality and UX of our portal
  • Utilize modern AI techniques to solve complex problems including practical applications of existing models, Anthropic & OpenAI
  • Stay at the forefront of emerging trends in ML/AI, proactively bringing new ideas and technologies to the team for evaluation and potential implementation
  • Contribute to the overall technical strategy, aligning AI initiatives with business goals and ensuring long-term scalability and performance.

✔️Qualifications 

  • Bachelor of Science in Computer Science or related field, or equivalent work experience
  • 10+ years of hands-on experience designing and implementing scalable, high-performance backend systems
  • 3+ years of experience solving complex problems using modern AI techniques
  • Experience with existing models in Anthropic, OpenAI
  • Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions.
  • Excellent communication and collaboration abilities
  • Proven track record in mentoring and coaching engineering team members
  • Previous experience at a hyper growth startup is a plus

🌴 Perks & Benefits

  • Competitive salary and equity
  • National medical, dental & vision insurance (we cover 100%!)
  • Fully covered life insurance
  • $400 monthly perks stipend 
  • $1000 yearly Learning & Development stipend
  • 401k plan
  • Pet Insurance
  • Unlimited PTO
  • Remote & flexible working hours
  • Gender-neutral parental leave 
  • All-Company Retreats (previously San Diego, Miami, Austin)

✏️ Noteworthy

_Our job titles may span more than one career level. The base pay for this role starts between $225,000 and $275,000. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for equity and benefits.Cortex is committed to a diverse and inclusive workplace. Cortex is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation.

About Cortex

Cortex Logo

Cortex is the Internal Developer Portal eliminating “developer tax”…

Company Size: 51 - 250 People
Year Founded: 2019
Country: United States

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