The Senior AI Engineer will develop generative AI applications for healthcare, focusing on innovative solutions to improve patient outcomes. Key responsibilities include deploying AI technologies, model training, and building scalable frameworks.
About the Company:
OutcomesAI is on a mission of building safe artificial medical intelligence that supercharge healthcare teams.
Our Philosophy:
Albert Einstein once said, "Creativity is intelligence having fun." At OutcomesAI, we embrace this idea by tapping into the creativity and problem-solving abilities of our team members. Our work is guided by the principles of clarity, discipline, and consistency. We view our employees as true partners, bound by mutual respect and accountability.
We need optimists and idea generators. Happiness is a driving force behind our passion for excellence. We believe that meaningful and fulfilling work leads to happiness by providing a sense of accomplishment, purpose, and strong social connections. Our aim is to uplift individuals, both within our team and among our customers in the healthcare industry, through the positive outcomes we deliver.
We're seeking an experienced AI engineer to develop cutting-edge generative AI applications in healthcare. The ideal candidate will combine deep technical expertise to create innovative AI solutions that improve patient care and outcomes. You will have the chance to work with a world-class team to shape the future of healthcare with GenAI. You will work on and own ambitious projects with large impacts.
Key Responsibilities
- Research, evaluate, implement and deploy cutting edge GenAI technologies
- Model pre-training, fine-tuning, evaluation, deployment, monitoring and feedback
- Build algorithms and agentic frameworks, laid foundation for scalable AI systems
Requirements
- PhD/Masters in AI, Computer Science, Data Science, or related quantitative field
- 3+ years of experience as individual contributor on AI product (e.g., AI/ML engineer, SDE, DS)
- Deep understanding of concepts and algorithms underlying deep learning, including LLM/LMM
- Hands-on experience in LLM/LMM pre-training, fine-tuning, data curation and synthesis
- Experienced in agent frameworks such as Langchain and/or building custom agentic frameworks
- Strong coding skills in Python and experience in PyTorch or other deep learning frameworks
- Experience in MLOps, system integration and monitoring of ML models in production
- Hands-on experience building LLM-based solutions to solve domain-specific problems
- Excellent communication skills and ability to clearly articulate complex problems
Preferred Qualification
- Experience in healthcare industry and familiarity with healthcare data
- Ability to implement and deploy latest GenAI research into production system
- Publications in AI journals/conferences or contributions to open-source GenAI projects
Top Skills
Genai
Llm
Lmm
Mlops
Python
PyTorch
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