Lead Software Engineer

8 days ago

Gainesville, FL, USAStaff+

Responsibilities

Collaborate with business stakeholders to define requirements, identify AI opportunities, and co-develop solutions.
Assess whether large language models, conventional software, or data solutions are appropriate for each problem.
Design and build RAG solutions involving embeddings, vector search, orchestration, and model or service selection.
Build release-gating evaluation and production monitoring for solution quality and cost.
Design auditable solutions in partnership with quality and regulatory stakeholders.
Build integrations and data pipelines connected to enterprise systems of record.
Own Azure cloud architecture, cost management, security, and access control.
Set technical direction, write production code, support live solutions, and partner with enterprise applications teams.

Bachelor’s degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience.
At least 5 years of experience building and shipping production software.
Experience delivering production applications using large language models, including RAG, prompt and context design, and evaluation.
Experience integrating enterprise systems of record and working with their data.
Experience with Python, Node.js, TypeScript, vector databases, and embedding models.
Hands-on Azure experience, including Azure AI Foundry, data services, compute, identity, and networking.
Ability to make sound judgments about when to use large language models and when to use other approaches.
Ability to manage model, token, and infrastructure costs throughout solution design and operation.
Strong written and verbal communication, stakeholder collaboration, multitasking, and project management skills.
Preferred experience building and deploying machine learning models on proprietary data.
Preferred experience in a regulated industry such as medical device or life sciences.
Preferred experience with document-heavy and unstructured data problems, including extraction, classification, and coding.

201-500 employees