Applied AI Engineer

Why you should join us

Tandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:

• Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every week and is doubling physician user count every month. We will reach millions by 2025.

• An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.

• Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.

Our number one priority is scaling to market demand . We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.

All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.

About the role

As an Applied AI Engineer on our team, you will work on real production use cases of LLMs and other ML techniques to solve business problems and create groundbreaking AI applications. The role requires that you develop a deep understanding of our product surface area and what drives our business, such that you can operate and drive impact both cross-functionally and independently. You will have end-to-end responsibility for projects, including definition, design, development, launch, and success––this includes ensuring your output has the expected impact on user growth, operational efficiency, or revenue generation.

This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Tandem's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.

If you join, you will:

• Scope and spearhead AI augmentation and automation projects across our product surface area, including: Unintuitive classifications, Data extraction and summarization, Precise content generation, Reference-based search and question answering, Process outcome prediction, Probabilistic triggering of workflows, and Multimodal model-powered bots

• Drive zero-to-one product development from conceptualization through production, collaborating with our go-to-market and operations teams

• Stay on top of emerging AI methods and drive decisions around which models and techniques we use, including where we fine-tune and train models

• Establish research strategies for various AI methods, including experimentation and evaluation protocols that control for both accuracy and consistency

• Prototype and productionize AI functionality and agents, incorporating real-world feedback to refine them

• Participate actively in client engagements, working directly with customers to understand requirements and deliver innovative solutions

• Develop engineering process, tools, and systems to support faster AI product development (e.g., build a one-click eval system) and scaling (e.g., model invocation efficiency)

• Work closely with the rest of our team and CEO to make business decisions as we balance speed of growth and long-term profitability

We need your help to:

• Decipher and automate complex, branching workflows for insurance coverage, affordability programs, and fulfillment

  • Combining AI/ML approaches to achieve high precision document classification, unstructured data extraction, and reference-based question answering

  • Automating multi-step, path-dependent processes, using a combination of RPA/scraping approaches to navigate and operate third-party platforms

  • Building a state machine that drives system decisions and handles failure modes across a set of processes that are technically independent but practically intertwined

• Scale across a growing range of drug classes, patient populations, and provider markets

  • Making our data and ML pipelines robust to variation and inconsistency in input data formats (e.g., clinical documentation structure and style)

  • Leveraging empirical data to build and continuously update our understanding of opaque external systems (e.g., insurance company policies)

  • Creating consumer-grade experiences for patients, physicians, and other users that incorporate intuitive AI-powered workflows

• Use our network to help biopharma partners accelerate drug development, launch, and access

  • Translating large volumes of heterogeneous data into reliable insights, informing decisions like clinical indication selection, launch markets, and insurer negotiations

  • Developing predictive and simulation models to forecast outcomes such as clinical trial site performance, drug adoption rates, and the impact of rebates/subsidies

  • Using real-time data and direct engagement channels to enroll criteria-matching patients and physicians in clinical studies and access programs

We’ll be most excited if you have:

• Strong programming skills and general Computer Science knowledge

• Experience driving AI projects end-to-end — from model development and data infrastructure to production deployment and real-world iteration

• Proficiency with modern AI/ML technologies (e.g., LLM APIs, PyTorch, TensorFlow) and a strong foundation in full-stack web development (we use Python, React, TypeScript, PostgreSQL, and Kubernetes)

• Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships

• Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals

• High NPS with your former teammates

This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.

Working with us

Tandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo.

We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:

• Commit to audacity. "Whether you think you can, or you think you can't – you're right.”

• Do the math. Be rigorous, assume nothing.

• Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.

• Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.

• Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.

• Do what it takes to be number 1. We work hard to make sure we win.

We provide competitive compensation with meaningful equity. Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.

We also provide rich benefits to ensure you can focus on creating impact:

• Fully covered medical, vision, and dental insurance.

• Memberships for One Medical, Talkspace, Teladoc, and Kindbody.

• Unlimited paid time off (PTO) and 16 weeks of parental leave.

• 401K plan setup, FSA option, commuter benefits, and DashPass.

• Lunch at the office every day and Dinner at the office after 7 pm.

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity.

Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.