Senior Software Engineer
2 weeks ago
At Asepha, we're building an AI pharmacist that's transforming healthcare. We use LLMs to make medication management smarter, safer, and more accessible for everyone.
Why join us?
- Work on something that matters: Our AI solutions help patients navigate complex medication regimens and help healthcare providers deliver better care
- Build with cutting-edge tech: Develop systems using the most advanced LLMs and generative AI frameworks
- Join a team with momentum: We're venture-backed and working with Fortune 500 healthcare companies
- Shape our technical foundation: You'll have significant influence on our architecture and engineering practices
You'll work directly with our founding team to build state-of-the-art tools that are already making an impact in the market. If you're passionate about writing great code and using the latest in AI to improve people's lives, we want to talk to you.
Role and Responsibilities:
- Architect, develop, and maintain scalable backend infrastructure to support high-performance healthcare AI applications.
- Collaborate with research scientists and ML engineers to build data pipelines that efficiently handle large-scale healthcare datasets.
- Implement advanced data security and privacy protocols to ensure robust patient data protection.
- Interfacing Large Language Models to external systems, APIs, and tools such as Vector Databases and Knowledge Graphs.
- Working on our data processing pipeline to ensure efficient and accurate handling of unstructured medical data.
- Training and fine-tuning Large Language Models performing a wide range of tasks in the domain of healthcare.
- Developing methods to improve efficiency, correctness, and quality of LLMs.
Qualifications:
- 6+ years experience
- Experience in backend development with proficiency in languages like Python or TypeScript
- Experience with existing large language models and generative models is a must.
- Experience with prompt engineering, RAG, or fine-tuning (personal projects count)
- Experience with event-driven architecture.
- In-depth knowledge of cloud platforms (AWS, GCP, or Azure) and DevOps practices, including Docker, Kubernetes, and CI/CD.
- Strong understanding of data security, privacy measures, and data modeling.
- Previous experience in healthcare-related technologies or regulated data environments.
Perks:
- Competitive compensation package
- Unlimited days off to maintain a healthy work-life balance
- Exciting opportunities for professional growth and career development
- Access to a vibrant startup community in Toronto, allowing you to network and immerse yourself in the entrepreneurial ecosystem
Note: Only candidates selected for an interview will be contacted.
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