Overview
Senior Software Engineer role at Blink Health, building products that make prescription purchasing more accessible and affordable, including the BlinkRx and Quick Save platforms.
What you'll do
- Design new APIs to power innovative features.
- Fix performance problems and debug production issues.
- Perform peer code and architecture reviews.
- Build new features, write unit tests, and lead the release of these features to production.
- Develop and A/B test new ReactJS components to improve the user experience.
- Design, build, deploy and use AI/ML solutions for telemedicine triage, prescription guidance, fraud detection, personalization, and operational automation.
- Help the team ship new products and features successfully with the right skills, mentorship, and organizational resources.
- Coach, mentor, and develop engineers to reach individual goals while fostering cross-functional collaboration and product success.
- Take responsibility for the long-term success of product projects and people.
- Champion responsible adoption of AI across engineering and product teams, ensuring solutions are ethical, reliable, and scalable.
- Stay ahead of advances in AI/ML (including LLMs, NLP, recommendation systems, and predictive analytics) and apply them thoughtfully to products.
- Give and receive candid and constructive feedback.
What you'll need
- 4+ years in a software engineering role.
- Professional experience working on a team turning ideas into reliable, maintainable code.
- Experience with one or more modern programming languages (Python, JavaScript, etc.).
- Willingness to dive into a large code base and contribute immediately.
- Independent and curious, comfortable owning features from design through delivery to production.
- Enjoy writing code that is understandable, maintainable, and testable.
- Collaborative and communicative, with the ability to build consensus and establish credibility.
- BE/BTech degree from a top institution.
Nice to have
- Experience with AI/ML frameworks (e.g., MCP servers, n8n, Google ADK, Vector DBs and Langchain).
- Familiarity with LLMs, fine tuning, and generative AI for personalization and patient support and order workflow.
- Experience integrating AI into production-grade systems with measurable business impact.
- Interest in applying AI responsibly in healthcare to maximize patient value and trust.
Details
Read the full description and apply on the company’s own careers page.