
15h Left Healthcare AI Fellowship
2 weeks ago
Role: Healthcare AI Fellow (Engineering)
Type: Full-time Contract, 6 months (clear path to permanent AI Engineer role based on performance)
Location: Remote
About iksa.ai: iksa.ai powers cutting-edge Life Sciences and Specialty Healthcare providers with highly customized, privacy-first AI solutions. Our approach is fully AI-first: relentless technical iteration, high ownership, and frameworks uniquely built for solving healthcare’s toughest AI challenges. We work fast, lean, and globally, with active deployments across India, Southeast Asia, and the United States.
What You'll Do:
- Rapidly design, build, and refine multi-agent, LLM-driven AI pipelines
- Develop unique evaluation frameworks and tooling, shaping the entire engineering team's approach
- Engage daily in collaborative problem-solving with clinicians, data architects, and seasoned ML engineers
Must-have:
- Advanced Python and expert proficiency in at least one major ML framework (PyTorch, TensorFlow, JAX)
- Proven track record rapidly deploying robust, production-grade AI solutions
- Demonstrated high agency, rapid iteration capability, and ownership of outcomes
Nice-to-have:
- Experience with retrieval-augmented generation, vector databases, or agent orchestration
- Familiarity with healthcare standards and constraints (training provided)
Success in Six Months:
- Launch production-grade, multi-agent AI solutions directly impacting healthcare providers globally
- Establish reusable technical assets that become integral to iksa.ai’s operational frameworks
- Deliver clear improvements in model accuracy, scalability, and reliability
Why iksa.ai?
- Direct mentorship from pioneering leaders in healthcare AI
- Immediate ownership of impactful projects
- Accelerated professional trajectory in a high-engagement, fully AI-first culture
Positions fill quickly—apply with your CV and a brief description of a recent AI project you're proud of. Applications are reviewed continuously; we’ll reach out if there’s alignment.
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