Senior AI/ML Engineer: Agentic AI for Healthcare

Kavaliro; Neptune Beach (FL); On-site; USD 69,000 - 83,000; Full time

Benefits offered by this job

Equal Employment Opportunities

Job summary

Kavaliro seeks a hands-on Senior AI/ML Engineer to design, build, and deploy Agentic AI solutions in a healthcare-focused environment. The role emphasizes production-grade AI agents, multi-model orchestration, and scalable cloud deployment using AWS services.

The ideal candidate has 7+ years in software engineering and 3+ years in AI/ML engineering, with expert Python and experience delivering agents from scratch. On-site role in Florida with healthcare stakeholders and governance focus.

Qualifications

• 7+ years of software engineering experience.
• 3+ years of hands-on AI/ML engineering experience.
• Expert-level Python development experience.
• Proven experience building AI agents from scratch in production environments.
• Strong hands-on experience with AWS Bedrock, SageMaker, LangChain, MCP, REST APIs, Docker, Git.

Responsibilities

• Design and develop Agentic AI frameworks capable of autonomous reasoning, planning, and multi-step task execution.
• Build dynamic orchestration and workflow solutions using AWS Bedrock MCP LangChain, Python Deploy, host and optimize third-party models.
• Integrate medical and domain-specific LLMs into orchestration frameworks.
• Design reusable agent architectures supporting tool usage, memory, and workflow coordination.
• Build AI-powered APIs, services, and applications for enterprise deployment.
• Develop RAG pipelines and knowledge retrieval systems.
• Optimize LLM performance, latency, cost, and observability.
• Partner with business and healthcare stakeholders to translate requirements into production solutions.
• Implement AI governance, security, and compliance best practices.
• Mentor junior engineers and influence platform architecture decisions.

Skills

Python

LLM orchestration

Production AI/ML

REST APIs

AWS services

Tools

AWS Bedrock

Amazon SageMaker

LangChain

MCP (Model Context Protocol)

Docker

Git

Vector databases

Multi-agent systems

Job description

Kavaliro seeks a hands-on Senior AI/ML Engineer to design, build, and deploy Agentic AI solutions in a healthcare-focused environment. The role emphasizes production-grade AI agents, multi-model orchestration, and scalable cloud deployment using AWS services.

The ideal candidate has 7+ years in software engineering and 3+ years in AI/ML engineering, with expert Python and experience delivering agents from scratch. On-site role in Florida with healthcare stakeholders and governance focus.