
Lead AI Engineer in Healthcare
4 days ago
We are seeking a talented Lead AI Engineer to work on designing, building, and refining multi-agent AI pipelines using Large Language Models (LLMs). This is an exciting opportunity to leverage your skills in machine learning, programming, and collaboration to drive impact in healthcare.
This role involves rapidly designing, building, and refining multi-agent LLM-driven AI pipelines. You will engage daily with clinicians, data architects, and seasoned ML engineers in collaborative problem-solving. As a key member of our team, you will develop unique evaluation frameworks and tooling that shape the entire engineering team's approach.
Key Responsibilities:
- Rapidly design, build, and refine multi-agent LLM-driven AI pipelines
- Develop unique evaluation frameworks and tooling that shape the entire engineering team's approach
- Engage daily in collaborative problem-solving with clinicians, data architects, and seasoned ML engineers
Requirements:
- Advanced Python proficiency and expertise 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-Haves:
- Experience with retrieval-augmented generation, vector databases, or agent orchestration
- Familiarity with healthcare standards and constraints (training provided)
Success Metrics:
- 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
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