Senior AI Engineer

Job not on LinkedIn

🔥 2 minutes ago

🐊 Florida, Minnesota, +1 more states – Remote

🐊 Florida – Remote ❄️ Minnesota – Remote 🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

NeueHealth

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

⚕️ Healthcare Insurance

💸 Finance

Healthcare • Healthcare Insurance • Finance

NeueHealth is a healthcare company focused on providing accessible, affordable, and high-quality care to all health consumers. Formerly known as Bright Health, it operates through two primary segments: NeueCare, which delivers comprehensive healthcare services via owned and affiliated clinics, and NeueSolutions, which supports independent providers in performance-based care arrangements. With a strong emphasis on understanding patient needs, NeueHealth aims to align the interests of health consumers, providers, and payors to enhance healthcare experiences and outcomes.

📋 Description

• Lead the end-to-end delivery of complex AI products including agentic workflows, RAG systems, and services • Collaborate with Product, Engineering, Data, and clinical and operational teams • Translate stakeholder needs into validated, access-aware AI workflows with clear system behavior, acceptance criteria, risk controls, and delivery trade-offs • Design AI workflow and RAG product lines, including ingestion, retrieval quality, attribution, confidence handling, agent tools, and human-review paths • Implement workflows with reliable AI control layers and optimize healthcare AI models across prompting, retrieval, reranking, fine-tuning, and model-selection approaches • Own healthcare AI evaluation and release frameworks, including adversarial testing, regression thresholds, release gates, and production telemetry • Provide senior technical leadership through design and code reviews, incident response, mentoring, and reusable engineering improvements • Deliver healthcare AI services using approved cloud capabilities and HITRUST-aligned controls for PHI/PII, security, privacy, auditability, responsible AI, and compliance

🎯 Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Linguistics, or a related field; equivalent practical experience may be considered • Typically, 5+ years of relevant engineering experience, including ownership of complex production components or technical leadership of feature delivery • Hands-on experience delivering and operating production or near-production AI/ML/LLM-enabled applications • Strong software engineering expertise in service and data-contract design, testing, CI/CD, observability, debugging, reliability, and operational support • Strong proficiency in Python, Java, Scala, C#, TypeScript or a comparable modern language • Deep working knowledge of structured outputs, RAG, tool use, evaluations, guardrails, monitoring, and human-in-the-loop design • Experience with cloud services and data-intensive systems; ability to collaborate across structured-data products and unstructured-data pipelines • Demonstrated self-directed exploration of emerging AI capabilities through independently built prototypes, tools, experiments, or applications • Experience translating AI experimentation into production solutions for enterprise or regulated environments, with attention to safety, reliability, security, governance, and measurable outcomes • Preferred: Healthcare experience involving PHI/PII, clinical or operational workflows, payer/provider operations, auditability, safety review, compliance controls, or value-based care • Preferred: Experience with cloud AI and data platforms such as Azure, AWS, GCP, Databricks, Agent Bricks, Genie, Azure AI Foundry/Azure OpenAI, Azure ML, AKS/Kubernetes, OpenTelemetry, or AI observability and evaluation tooling • Preferred: Model benchmarking, selection, adaptation, fine-tuning, reranking, or other domain-model optimization techniques • Preferred: Experience leading technical initiatives across teams or mentoring several engineers

🏖️ Benefits

• Work-from-home position • Equal Opportunity Employer committed to a diverse employee group