AI Developer
Core
Design and build production AI systems embedded within delivery teams to operationalize generative AI across administrative and operational functions.
Role type
Senior IC machine-learning engineer (enterprise production systems)
Builds
Production AI systems, ML/DL models, and infrastructure for internal administrative and operational workflows
Domain
Biomedical research organization operations + Enterprise ML/DL
Deliverable
production ML models | infrastructure
Required skills
Enterprise product engineering, classical ML (gradient boosting, regression, clustering), deep learning, Java, Python, agentic AI frameworks (LangGraph, Strands), model evaluation methodology, infrastructure as code (Terraform), container orchestration, CI/CD, cloud-agnostic architecture
Preferred skills
Front-end frameworks (React), vector databases, knowledge graphs, MLOps tooling, research/academic environment experience
Technologies
Java, Python, LangGraph, Strands, Terraform, AWS, Azure, GCP
Responsibilities
Build production AI systems alongside delivery teams; select appropriate algorithms (LLMs, gradient-boosted trees, logistic regression) based on problem constraints; design and execute rigorous evaluation methodologies (precision, recall, drift, A/B tests); own deployment, observability, and cost management via IaC; partner with receiving teams for system handoff and operational transition; communicate technical trade-offs to business stakeholders and engineering peers
Seniority
Senior, hands-on IC with significant production experience