Senior AI Engineer

Our Team

Engineers at Anterior come from all backgrounds and are typically engineers with a strong “sense of product” through their desire and ability to solve problems close to the customer.

We collaborate closely with our clients in a multidisciplinary team to create robust, secure, and scalable applications. Our approach is guided by OWASP principles, emphasizing DRY code, modular and extensive architectures, and the use of pragmatic algorithms to execute business logic effectively. Attention to detail is paramount in our coding practices, whether it's developing OOP Classes, REST APIs, web dashboards, or infrastructure components. Our applications prioritize user experience, ensuring they are intuitive and engaging to use.

We are continuously expanding our team, bringing convergent skills and experiences from a variety of disciplines and backgrounds.

The Role

We are building on the frontier of LLM technology to serve America’s biggest industry. Co:Helm reduces time taken to complete medical tasks from several hours to just several minutes.

• Automating administrative workflows using LLMs, custom models and agents

• Applying AI beyond the cutting-edge of research: there are no tutorials to follow

• AI-powered pipelines that process millions of tokens per day to automate complex knowledge work

• Novel product, system design and business problems for the biggest names in American Healthcare

About You

The best AI Engineers comfortably demonstrate the ability of building best-in-class pipelines with unprecedented accuracy and performance.

• You are comfortable designing, experimenting and prototyping complex pipelines that integrate with multiple data sources, a variation of models and respond with consistent and accurate outputs

• You have a clear understanding and enthusiasm of how AI research can be applied to Product

• You can break down complex enterprise domain problems into clean architecture and reusable code

• You have been building and shipping product at a high cadence for at least 5 consecutive years

• You want to work at the cutting-edge of AI Research application in healthcare

• Can attend in-person at the office at least 3 days per week

*Medical background or experience in Healthcare is not required.

What's in it for You

This is an opportunity to join the early team of a startup that is working with cutting-edge technology to have a meaningful impact in healthcare. We’re at an exciting inflection point, and you’ll be working with a smart and motivated team and will be given the opportunity to learn and grow rapidly.

We pride ourselves on our strong apprenticeship and coaching culture; we expect all our early hires to grow into leaders in our company and the industry, and we are committed to helping you get there.

You’ll also enjoy the following benefits:

• Top of market salary (we like to pay top decile)

• Health and dental benefits

• Company laptop

• Learning & development budget

• Flexible holiday policy

• Free office lunch, every day

Selection Process

We like to move fast and get to a decision ASAP. The cycle from screening call to decision shouldn’t take longer than 2 weeks.

Our candidate assessment process is made up of 5 steps:

1. Screening call: A quick 20m screening call with a recruiter or member of our team to assess your profile and experience against our requirements

2. Technical test: You'll be given a take-home task to showcase your full-stack skills in addressing a specific problem that reflects the tasks you'll handle at Anterior.

3. In-person technical interview: You'll have the chance to present your take-home assignment and engage in a technical discussion with a member of the Anterior engineering team. This phase might also involve a peer-programming exercise related to your take-home assignment.

4. In-person cultural interview: You'll have the opportunity to converse with members of the Anterior team, and help evaluate if you're someone we'd like to welcome aboard and if you also perceive us as a team you'd like to be part of.

5. Final-stage interview: A concluding interview with either the hiring manager or engineering lead will precede our decision-making process.