Autonomize, Inc
Autonomize AI is at the forefront of revolutionizing healthcare through artificial intelligence. Our mission is to harness cutting-edge AI technologies to improve patient outcomes, streamline clinical workflows, and enhance healthcare delivery.
About the Job:
We are seeking a dynamic and experienced Program Manager to lead and oversee AI-driven healthcare initiatives. The ideal candidate will possess a strong background in program management within the healthcare sector, coupled with a deep understanding of AI technologies and their applications in healthcare settings.
About the job
We're looking for a
hands-on ML/LLM Engineer
who’s excited to ship real-world applications — not just benchmarks. You’ll help us build and optimize AI-native systems that blend structured and unstructured data to power decisions in high-stakes domains. This is a
mid to senior-level role
for someone who’s ready to go deep on applied ML problems — from retrieval to routing to generation — and ship solutions that deliver impact. What you'll do Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.) Fine-tune and evaluate LLMs using both open-source and proprietary data Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases Monitor and improve model quality, latency, explainability, and safety Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures Qualifications:
3–6 years of experience in applied ML, with at least 1–2 years working with LLMs Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.) Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning Bias for experimentation, clarity, and pushing things into production — fast Understanding of responsible AI practices, model evaluation, and observability Bonus: experience in healthcare, compliance-sensitive data, or regulated environments
What we offer: Opportunity to make a tangible impact in the healthcare industry Ownership, Autonomy & Mastery - ability to chart your own trajectory in a fast growing company Competitive salary and bonus pay structure Comprehensive medical, dental, and vision insurance - premium free for employees. Retirement Plans: 401(k) Professional Development: Budget for learning and development, particularly in AI or productivity tools. How to Apply:
Please submit your resume and a brief cover letter to careers@autonomize.ai explaining why you are the ideal candidate for this role. We are excited to meet someone who is eager to bring their skills, enthusiasm, and creativity to our team!
#J-18808-Ljbffr
hands-on ML/LLM Engineer
who’s excited to ship real-world applications — not just benchmarks. You’ll help us build and optimize AI-native systems that blend structured and unstructured data to power decisions in high-stakes domains. This is a
mid to senior-level role
for someone who’s ready to go deep on applied ML problems — from retrieval to routing to generation — and ship solutions that deliver impact. What you'll do Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.) Fine-tune and evaluate LLMs using both open-source and proprietary data Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases Monitor and improve model quality, latency, explainability, and safety Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures Qualifications:
3–6 years of experience in applied ML, with at least 1–2 years working with LLMs Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.) Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning Bias for experimentation, clarity, and pushing things into production — fast Understanding of responsible AI practices, model evaluation, and observability Bonus: experience in healthcare, compliance-sensitive data, or regulated environments
What we offer: Opportunity to make a tangible impact in the healthcare industry Ownership, Autonomy & Mastery - ability to chart your own trajectory in a fast growing company Competitive salary and bonus pay structure Comprehensive medical, dental, and vision insurance - premium free for employees. Retirement Plans: 401(k) Professional Development: Budget for learning and development, particularly in AI or productivity tools. How to Apply:
Please submit your resume and a brief cover letter to careers@autonomize.ai explaining why you are the ideal candidate for this role. We are excited to meet someone who is eager to bring their skills, enthusiasm, and creativity to our team!
#J-18808-Ljbffr