AI/ML Engineer

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

We are seeking a hands-on Senior AI/ML Engineer to design, build, and deploy next-generation Agentic AI solutions in a healthcare-focused environment. This role requires deep expertise in Generative AI architecture, dynamic agent orchestration, workflow automation, and LLM integration using AWS-native services. The ideal candidate has successfully built production-grade AI agents from scratch and has experience orchestrating multiple foundation models, integrating third-party LLMs, and deploying scalable AI systems in cloud environments. This is a highly technical engineering role. We are looking for builders, not prompt engineers.

Key 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 Model Context Protocol (MCP) LangChain Python Deploy, host, and optimize third-party foundation models and specialized LLMs using Amazon SageMaker.
• Integrate medical and domain-specific language models into broader orchestration frameworks.
• Design reusable agent architectures supporting tool usage, retrieval, memory management, and workflow coordination.
• Build AI-powered APIs, services, and applications suitable for enterprise-scale 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.

Required 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 Amazon SageMaker LangChain MCP (Model Context Protocol) REST APIs Docker Git.
• Experience integrating and orchestrating multiple LLMs within a unified framework.
• Understanding of: RAG architectures Vector databases Agent memory patterns Multi-agent systems LLM evaluation frameworks.
• Experience deploying and monitoring production workloads in AWS.

Preferred Qualifications

• Healthcare, payer, provider, life sciences, or clinical technology experience.
• Experience with medical-specific language models.
• Experience with: OpenAI Anthropic Claude Llama Mistral Med-PaLM or healthcare LLMs.
• Experience with Pinecone, Weaviate, OpenSearch, Chroma, or similar vector databases.
• Knowledge of HIPAA, PHI handling, and healthcare compliance requirements.
• Experience building multi-agent orchestration frameworks.

Pay: $50 - $60/ Hourly

Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.