Role overview

Basic qualifications

• 5+ years of experience building and deploying production software, ML systems, or AI platforms.
• 1+ years of hands-on experience building production Generative AI or LLM-based applications.
• Strong programming skills in Python and experience with software engineering best practices.
• Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent.
• Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies.
• Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP.
• Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures.
• Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure.
• Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices.
• Experience building monitoring, observability, and alerting solutions for ML and AI systems.
• Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations.
• Experience designing secure, scalable, production-ready AI platforms and services.
• Strong communication and collaboration skills with the ability to work across technical and business teams.

Preferred qualifications

• Previous experience implementing Generative AI and MLOps solutions within healthcare environments.
• Experience working with EPIC or healthcare interoperability platforms.
• Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices.
• Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling.
• Experience with GPU infrastructure optimization and scalable inference architectures.
• Familiarity with multi-agent AI systems and autonomous workflows.
• Experience with event-driven architectures, streaming pipelines, and real-time inference systems.
• Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies.
• Experience with enterprise AI platform architecture and internal developer platforms.
• Prior experience mentoring engineers and leading technical initiatives.
• 5+ years of relevant experience with a degree (Required)
• 7+ years of relevant experience without a degree (Required)
• Experience in lieu of Bachelor’s Degree.
• No specific certification or licensure requirements
• 5 to 7 years of relevant experience
• Medical, Dental, Vision plans
• Adoption, Fertility and Surrogacy Reimbursement up to $10,000
• Paid Time Off and Sick Leave
• Paid Parental & Family Caregiver Leave
• Emergency Backup Care
• Long-Term, Short-Term Disability, and Critical Illness plans
• Life Insurance
• 401k/403B with Employer Match
• Tuition Assistance – $5,250/year and discounted educational opportunities through Guild Education
• Student Debt Pay Down – $10,000
• Reimbursement for certifications and free access to complete CEUs and professional development
• Pet Insurance
• Legal Resources Plan
• Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.