Healthcare Ai

Healthcare Ai Engineer Jobs

2 jobs found

Today

Agentic AI Engineer

Motion Recruitment Charlotte, NC

Charlotte, NC

Today

Full time Agentic Ai Agentic Ai Orchestration Ai Agent

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Job Description

Motion Recruitment is seeking an Agentic AI Engineer in Charlotte, NC (onsite) to design, build, deploy, and maintain AI-powered agents and multi-agent systems. This role focuses on automating business processes through secure integrations, HIPAA-aware development practices, and strong observability for reliable agent performance.

Core Responsibilities

Design and build AI agents using LLMs and agent frameworks including LangChain, LangGraph, CrewAI, and AutoGen
Develop multi-agent workflows for enterprise use cases such as insurance reconciliation, clinical record summarization, and procurement automation
Implement agent capabilities including reasoning, planning, memory, and tool-use
Integrate agents with enterprise systems such as Salesforce, HubSpot, EMR systems, internal APIs, databases, and SaaS applications
Build RAG solutions using company knowledge bases
Apply HIPAA-aware development practices, including RBAC, audit logging, least-privilege tool access, and prompt-injection defense
Monitor agent performance, reliability, and cost by building evaluation and observability frameworks
Rapidly prototype and iterate on AI-driven workflows with direct input from business stakeholders
Mentor junior developers on agentic AI development practices

Time Allocation

70% AI Agent Development & Enterprise Integration
20% Platform Engineering & Observability
10% Collaboration & Documentation

Required Qualifications

Python
LLM API experience (including OpenAI, Anthropic, Google, etc.)
Experience with LangChain and/or LangGraph
Experience with CrewAI and/or AutoGen and/or Microsoft Agent Framework
API integration
SQL and database knowledge
Experience with AWS, Azure, or GCP
Familiarity with MCP-enabled systems
Experience with healthcare/dental EMR systems such as DSN Cloud and WinOMS

Technologies

Python, LLM APIs, OpenAI, Anthropic, Google
LangChain, LangGraph, CrewAI, AutoGen, Microsoft Agent Framework
SQL, AWS, Azure, GCP, MCP-enabled Systems
DSN Cloud, WinOMS, Salesforce, HubSpot
RAG, HIPAA, RBAC

Benefits

Competitive base salary plus bonus and equity/long-term incentive
Medical insurance
Dental benefits
Vision benefits
Paid time off (PTO)

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2d ago

Senior Applied AI Engineer

Curai Remote 🌍 Remote

Remote

2d ago

$175k - $200k/yr Full time Senior Artificial Intelligence Fine Tuning

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Job Description

Curai is looking for a Senior Applied AI Engineer to help design, build, and ship machine learning and LLM systems that influence how clinicians and patients engage with its healthcare platform. This role owns work end-to-end, from framing the right AI problem with partners to productionizing inference and validating real-world clinical and product impact.

What you’ll do

Lead technical execution for complex AI initiatives, owning the design and delivery of solutions within a product or technical domain and partnering with senior engineers on broader architecture.
Design, build, train, evaluate, and improve advanced machine learning and LLM-based systems for patient and provider-facing products, including areas such as conversational AI, personalization, user understanding, clinical decision support, and chronic care management.
Own problems end-to-end: scope with clinicians and product partners, build datasets and evaluations, iterate on modeling, and ship to production with appropriate monitoring and guardrails.
Build robust evaluation frameworks, including offline benchmarks, human-in-the-loop review, and online experiments, to ensure models are safe, accurate, and improving over time.
Develop and enhance the team’s platform to move quickly, including data pipelines, training and inference infrastructure, prompt and model management, and tooling for clinical reviewers.
Collaborate closely with clinicians, product, and engineering to translate medical and operational requirements into ML problems and deliver measurable improvements to patient and clinician experience.
Set technical direction for your area, mentor other engineers, and raise engineering and scientific rigor, with leadership scope scaling with seniority.
Stay current with the literature and the rapidly evolving AI ecosystem, bringing back what is most useful for patients and the team.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Math, or another related technical degree.
3+ years of hands-on engineering experience, including 1+ years building and deploying machine learning systems with generative AI (LLMS) and a clear track record of impact.
Strong software engineering fundamentals, with the ability to ship reliable, well-tested code in Python (or a comparable language) in production environments.
Practical understanding of modern LLM techniques, including prompting, retrieval-augmented generation, fine-tuning, and evaluation, along with trade-offs.
Comfort working with messy, real-world data and designing evaluations to determine whether a system is truly working.
Strong written and verbal communication, with the ability to collaborate across disciplines including clinicians, product managers, and engineers.
Bias toward action and ownership: driving ambiguous problems to results and helping others get there.
Care for the mission, with motivation to translate work into better health outcomes for real patients.

Technologies

Python
LLMs
Retrieval-augmented generation
Prompting
Fine-tuning
Evaluation

Nice to have

Experience applying ML or LLMs in healthcare, life sciences, or another regulated, high-stakes domain.
Experience with clinical NLP, medical knowledge representation, or working with electronic health record data.
Experience building agentic systems and tool-using LLMs in production.
Experience scaling ML infrastructure, including training pipelines, distributed inference, and evaluation platforms for a small, fast-moving team.
Track record of technical leadership, such as setting direction across teams, mentoring engineers, or publishing influential work.

Compensation and location

Location: Remote (remote) across the U.S.
Base salary: USD 175,000 - 200,000 per year
Actual base salary depends on qualifications and years of relevant experience.

Benefits

High-ownership work on problems that matter, with a tight feedback loop from real clinicians and patients.
A small, senior team where work shows up in the product quickly.
Competitive compensation, meaningful equity, and comprehensive benefits.
Remote-first, flexible work environment across the U.S.
Comprehensive medical, dental, and vision coverage.
Flexible spending plans.
Generous and flexible Paid Time Off (PTO), floating holidays, and parental leave.
401k plan with employer matching.
100% remote, work from home.

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Healthcare Ai Engineer Jobs

Agentic AI Engineer

Senior Applied AI Engineer

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