Applied AI Engineer

About the role

We are seeking an Applied AI Engineer to work on real production use cases of LLMs and other ML techniques to solve business problems and create groundbreaking AI applications. The role involves developing a deep understanding of our product surface area and driving impact both cross-functionally and independently. Key responsibilities include:

• 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
  • 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
• 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)

Responsibilities

We need your help to:

• Decipher and automate complex, branching workflows for insurance coverage, affordability programs, and fulfillment
• Combine AI/ML approaches to achieve high precision document classification, unstructured data extraction, and reference-based question answering
• Automate multi-step, path-dependent processes, using a combination of RPA/scraping approaches to navigate and operate third-party platforms
• Build 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
• Make our data and ML pipelines robust to variation and inconsistency in input data formats (e.g., clinical documentation structure and style)
• Leverage empirical data to build and continuously update our understanding of opaque external systems (e.g., insurance company policies)
• Create 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
• Translate large volumes of heterogeneous data into reliable insights, informing decisions like clinical indication selection, launch markets, and insurer negotiations
• Develop predictive and simulation models to forecast outcomes such as clinical trial site performance, drug adoption rates, and the impact of rebates/subsidies
• Enroll criteria-matching patients and physicians in clinical studies and access programs

Requirements

To be considered for this role, you should 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
• A track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
• A high NPS with your former teammates

Qualifications

We're looking for individuals who have:

• Experience with LLM APIs
• Knowledge of PyTorch and TensorFlow
• Full-stack web development skills
• Effective communication skills
• A history of delivering results
• A high NPS with previous colleagues

Skills

The ideal candidate should possess:

• Expertise in AI/ML technologies
• Strong programming skills
• Experience with full-stack web development
• Excellent communication skills
• A proven track record of delivering results

Benefits

Forus offers:

• Competitive compensation with meaningful equity
• Rich benefits including 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 and dinner at the office
• Equal opportunity employer