Senior AI Engineer — Production ML & LLMs Lead

AssistRx, LLC; Miami (FL); Sur place; USD 135 000 - 169 000; Plein temps

Résumé du poste

AssistRx, LLC in Florida is seeking a senior AI engineer to lead design, build, and deployment of production-grade AI solutions across the specialty medication access ecosystem. This onsite role will set AI technical direction, own high-risk AI systems, and ensure quality, performance, cost efficiency, and compliant handling of PHI.

You will drive AI architecture, APIs, and workflows, shaping the roadmap with Product and Architecture, and mentor engineers while collaborating across teams to

Qualifications

• 7+ years of software engineering experience, incl 4+ years building and deploying AI/ML in production.
• Strong programming skills in Python, with experience in .NET/C#/Java and REST APIs.
• Track record leading and shipping multiple AI features used by real customers or operations teams.
• Hands-on experience with LLMs and generative AI patterns (RAG, embeddings, evaluation).
• Experience deploying production AI workloads on cloud platforms (AWS/Azure).

Responsabilités

• Lead design, development, and deployment of complex multi-system AI solutions.
• Architect applications on large language models using retrieval augmented generation and prompt engineering.
• Design agentic workflows with tool calling, memory/state management and human review checkpoints.
• Own AI reference architecture, reusable components, and engineering standards for AI development.

Connaissances

Python

.NET/C#/Java

LLM/GenAI

Prompt engineering

API design

CI/CD

Cloud platforms

Agentic coding tools

Leadership

Security/Compliance

Formation

Bachelor’s degree in Computer Science/Engineering/Data Science or related field

Master’s degree in CS/ML/Data Science or related field

Outils

Claude Code

GitHub Copilot agents

Codex

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Description du poste

AssistRx, LLC in Florida is seeking a senior AI engineer to lead design, build, and deployment of production-grade AI solutions across the specialty medication access ecosystem. This onsite role will set AI technical direction, own high-risk AI systems, and ensure quality, performance, cost efficiency, and compliant handling of PHI.

You will drive AI architecture, APIs, and workflows, shaping the roadmap with Product and Architecture, and mentor engineers while collaborating across teams to