ML/AI Engineer

Location: Remote (U.S. preferred, with hubs in SF, NYC, Chicago, and Austin)

Position: ML/AI Engineer
Location: Remote (U.S. preferred, with hubs in SF, NYC, Chicago, and Austin)
Cercle Overview & MIssion
Cercle is an AI technology company focused on advancing healthcare for all women. Our AI platform and tools work together to unlock insights for women's healthcare companies. Current and future customers range from clinics and labs to hospitals and pharmaceuticals. Engineers at Cercle are working at the forefront of AI, ML, data engineering, and women’s healthcare. We're solving one of AI's most audacious challenges: building autonomous AI agents that can navigate and reason through complex enterprise data. This isn't just another LLM wrapper - we're pioneering graph-based AI architectures that transform how healthcare organizations leverage their data at scale.
Key Responsibilities:
● Architect and ship production-grade AI agents that a) Process billions of healthcare data points with sub-second latency and b) Solve ETL problems in new and innovative ways
● Build cutting-edge RAG systems combining vector databases, knowledge graphs, and state-of-the-art embeddings
● Optimize model performance and manage server infrastructure for real-time deployment of massive embeddings/graph/vector database infrastructure
● Implement MLOps best practices for versioning, testing, deployment, and monitoring
● Push the boundaries of what's possible with LLMs through advanced fine-tuning, promptengineering, and novel architectures
● Design self-healing ML pipelines that scale horizontally across distributed infrastructure
● Own the full ML lifecycle from research to production, impacting millions of healthcare decisions
Tech Stack proficiency requirements :
● Python, PyTorch/TensorFlow, Kubernetes, Neo4j, Pinecone/Weaviate, Apache Spark, Ray,MLflow, Docker, AWS/GCP
Qualifications:
● 5+ years shipping ML systems at scale (not just notebooks - real production systems)
● Deep expertise in transformer architectures, embeddings, and modern NLP
● Track record of building distributed systems that don't break at 3am
● Fluency in Python and at least one systems language (Go/Rust/C++)
● Experience with vector DBs, graph databases, or both
● Comfort working with ambiguity and defining technical direction
● Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, or similar)
● Hands-on experience with LLMs (e.g., fine-tuning, prompt engineering, embeddings)
Bonus Points:
● Experience integrating ML models into production applications
●Healthcare tech experience (FHIR, HL7, HIPAA compliance)
● Experience with heterogeneous data sets

● Contributions to open source projects

• Experience with graph databases or visualization libraries
  ● You've built something that handled 10k+ RPS
  Benefits:
  ● Competitive base salary + meaningful stock options
  ● Highly flexible remote work with a global team, and annual company retreats
  ● Medical, dental, vision, and 401k plans
  ● Unlimited PTO in addition to U.S. federal holidays off
  ● The chance to shape cutting-edge AI products from the ground up
  If interested, please send your resume to

The Cercle Biomedical Graph has not been evaluated by the U.S. Food and Drug Administration. It does not diagnose, treat, cure, or prevent any disease and is not classified as a medical device