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Senior Software Engineer II

Blink Health
CompanyBlink Health
CategoryEngineering
LocationIN
Remote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted7 Jul 2026
Last verified12 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Blink Health is a healthcare technology company building products to make prescriptions accessible and affordable. As a Senior Software Engineer II, you will take ownership of strategic technical challenges, envision solutions, and drive execution across areas like telemedicine, home delivery, pharmacy platforms, and AI-powered personalization. What You'll Do • Design and build new APIs to power innovative features and drive product development • Take ownership of complex technical problems, envision strategic solutions, and drive execution like an entrepreneur • Collaborate with cross-functional teams including designers, product managers, data scientists, and marketers to ship products and features • Fix performance problems, debug production issues, perform code and architecture reviews, and lead feature releases • Design, build, deploy, and use AI/ML solutions for telemedicine triage, fraud detection, personalization, and operational automation What You Need • 7+ years of professional software engineering experience • Proficiency with modern programming languages such as Python or JavaScript • Experience building reliable, maintainable code on collaborative teams and contributing to large codebases • Strong product acumen and ability to own features from design through delivery to production • Bachelor's degree or B.Tech from a top institution • Linux experience Nice to Have • Experience with AI/ML frameworks such as MCP servers, n8n, Google ADK, Vector DBs, and Langchain • Familiarity with LLMs, fine-tuning, and generative AI for personalization and patient support • Experience integrating AI into production-grade systems with measurable business impact • Interest in applying AI responsibly in healthcare to maximize patient value and trust