Senior Applied Artificial Intelligence Engineer, Alaffia Health
$170-200k
+ Equity
Medical claim fraud prevention
Be an early applicant
Medical claim fraud prevention
21-100 employees
Be an early applicant
$170-200k
+ Equity
21-100 employees
Company mission
To transform the future of healthcare by reducing healthcare costs for millions of Americans.
Role
Who you are
- We seek someone who thrives on solving complex problems in generative AI, optimizing deep learning architectures, and applying reinforcement learning to real-world challenges
- Experience in designing, developing, and deploying AI/ML models in a production environment. Preferred experience:
- Experience with cloud provider, such as AWS, Azure, and GCP
- Building and deploying user facing products with AI / ML
- 5+ years industry experience with large scale system
- Building AI / ML model in the healthcare sector
- Strong foundation in machine learning, deep learning, NLP, multi-modal, and generative AI technologies
- Proficient in programming languages such as Python and frameworks/libraries like Langchain, and Hugging Face
- Demonstrated ability to stay up to date with the latest AI research and methodologies
- Exceptional problem-solving skills and the ability to work in a fast-paced, evolving environment
- Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders
What the job involves
- Alaffia is a healthcare AI startup revolutionizing health and data automation. Our AI-driven platform leverages state-of-the-art generative AI and machine learning technologies to enhance accuracy, efficiency, and compliance in medical billing and auditing
- As we scale, we are seeking a Senior Applied AI Engineer to build the cutting-edge AI solutions, drive innovation, and shape the future of healthcare automation
- T Alaffia, AI is at the core of our mission. We are looking for a talented engineer who is passionate about building state-of-the-art AI models, deploying scalable AI-driven systems, and driving innovation in applied machine learning
- Our AI technology powers intelligent automation for medical billing, ensuring accuracy, compliance, and operational efficiency
- You will have the opportunity to fine-tune LLMs, design robust AI workflows, and implement scalable AI solutions that directly impact healthcare providers and payers
- In this role, you’ll be shaping the future of AI-driven healthcare automation while tackling some of the toughest challenges in AI research and deployment
- Deep understanding of a broad range of AI techniques, including deep learning, optimization, LLM fine-tuning, reinforcement learning (RLHF, DPO), data imbalance strategies, and ensemble learning
- Expertise in NLP, OCR, and multi-modal AI solutions, with the ability to select the appropriate approach for each business problem
- Strong awareness of the state-of-the-art AI research landscape, with the ability to evaluate and implement new methodologies effectively
- Ability to conduct and present large-scale experiments using appropriate statistical methods and visualization techniques
- Lead efforts in publishing technical white papers, blog posts, and company publications to establish thought leadership in AI
- Formulate business objectives as AI tasks, deriving system- and workflow-level solutions
- Provide strong leadership in AI system design, ensuring model performance remains valid throughout its lifecycle
- Familiarity with AI model training, tracking, and deployment tools such as MLflow, Weights & Biases, Hugging Face, LangChain, and CrewAI
- Define experimentation strategies and refine AI system design based on empirical findings
- Write highly robust, scalable code that is flexible, reusable, and adaptable to evolving requirements
- Ensure high code quality through rigorous code review processes and foster a collaborative engineering culture
- Build tools and produce technical documentation to improve developer efficiency and alignment across teams
- Proactively identify, resolve, and mitigate technical risks before deployments and releases
Our take
Alaffia Health addresses the longstanding challenge of inefficient health insurance claims processing through its genAI solutions. Traditionally, this complexity leads to delays and high costs, impacting both insurers and healthcare providers and ultimately affecting patient care accessibility. Alaffia Health recognizes the urgent need for transformative solutions to streamline this process and reduce the burden on all stakeholders.
To tackle this, Alaffia Health leverages advanced AI technologies to revolutionize claim handling. By harnessing genAI, the company automates and optimizes processing, leading to faster reimbursements, reduced overhead, and improved efficiency within the healthcare ecosystem. Through continuous research, Alaffia aims to seamlessly integrate these tools, driving tangible improvements in cost-effectiveness and service delivery.
With a recent $10M funding led by FirstMark Capital, Alaffia Health is poised to accelerate its mission. This investment fuels AI research and development and expands its commercial footprint. As Alaffia continues to innovate and disrupt healthcare norms, it is positioned to achieve significant milestones, reshaping the future of healthcare administration.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Apr 2024
$10m
SERIES A
Feb 2022
$5m
SEED
Total funding: $15m
Company benefits
- Company stock options
- Hybrid work environment - work from the office and home
- Employer-sponsored Medical, Dental, and Vision benefits
- Flexible, paid vacation policy
- Work in a flat organizational structure — direct access to Leadership
Company HQ
Civic Center, New York, NY
Leadership
TJ Ademiluyi
(CEO)Previously worked in Securities and Tech Investment Banking at Goldman Sachs.
Adun Akanni
(COO)Previously worked as Project Team Lead at AmeriCorps National Civilian Community Corps. Was Director of Programs at MD Billing Pros and Onboarding Supervisor at Zeus Living.
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