AI Engineer

Job Information

AI Engineer-AI Platform Job

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Title

AI Engineer-AI Platform

About the Organization

MOBE guides people to better health and more happiness. We help people discover connections between aspects of their lifestyle that affect health and well-being, including their medications and supplements. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we motivate people to transform their lives.

MOBE is a high-growth organization with a culture built on trust and collaboration and our team is our most significant asset. Supporting and empowering others is at the core of our service and is also the foundation of our culture. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups. Go to https://www.mobeforlife.com/DEI for more about diversity, equity, and inclusion at MOBE.

Description

Company Overview

MOBE helps people discover new ways to live healthier. We are the whole-person, cross-condition solution that goes further to deliver better health and lower overall costs through evidence-based individual health guidance and pharmacist-led medication management. We empower individuals to make meaningful changes that improve their health and overall well-being. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we uncover opportunities, overcome challenges, and motivate people to transform their lives.

At MOBE our team is our most significant asset. We cultivate a culture grounded in curiosity, innovation, and growth. We encourage new ideas, fresh solutions, and meaningful impact. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups.

Your role at MOBE

We are seeking an AI Engineer to serve as a core builder of MOBE’s AI Platform. This role sits at the intersection of AI engineering, machine learning operations, data platform development, and healthcare analytics.

You will build production AI systems that translate structured and unstructured healthcare data into reliable, explainable, and actionable outputs. This includes RAG pipelines, AI evaluation frameworks, agentic workflows, governed ML pipelines, and integrations that support analytics, BI, and business decision-making.

**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Responsibilities

• Build production AI and RAG systems: Design RAG pipelines over enterprise data with attention to retrieval quality, grounding, latency, source traceability, privacy, and answer reliability.
• Design AI evaluation practices: Create repeatable methods to measure retrieval quality, coverage, hallucination risk, groundedness, latency, regression, and user-facing confidence.
• Develop agentic workflows: Build controlled AI workflows that retrieve context, call tools, execute defined steps, and support decision processes with observability and guardrails.
• Operationalize ML and AI lifecycle management: Use MLflow or equivalent tooling for experiment tracking, model registry, lineage, reproducibility, deployment, and monitoring.
• Support cloud-based AI infrastructure: Deploy and monitor models or AI services using AWS SageMaker, Bedrock, Airflow, feature-store patterns, or equivalent production-ready tooling.
• Build AI-ready data pipelines: Use Python, SQL, dbt, Airflow, and cloud services to support model training, RAG ingestion, feature generation, batch inference, and AI application workflows.
• Integrate outputs into reporting and BI: Ensure ML and AI outputs are trusted, documented, interpretable, and consumable through reporting hubs, dashboards, semantic layers, APIs, or downstream workflows.
• Uphold governance and data protection: Ensure AI systems follow privacy, security, quality, auditability, and compliance standards when handling PHI, PII, and confidential information.
• Translate business questions into AI solutions: Partner with Data Science, Analytics Engineering, Medical Economics, DataOps, TechOps, and business stakeholders to convert ambiguous problems into measurable solutions.

Position Requirements

Qualifications

Required

• 5–7 years of experience in AI engineering, ML engineering, applied machine learning, data science engineering, or related platform-oriented roles.
• Strong proficiency in Python and SQL for data processing, pipeline development, model workflows, and AI application logic.
• Hands-on experience building or operating LLM-powered systems, including RAG, AI assistants, agentic workflows, or AI-enabled data products.
• Practical experience with RAG architecture, including ingestion, chunking, embeddings, retrieval, grounding, and evaluation.
• Experience taking ML or AI systems from prototype to production, including deployment, monitoring, observability, and iteration.
• Experience with MLOps tooling such as MLflow, model registries, experiment tracking, feature stores, model monitoring, or lifecycle governance.
• Experience with orchestration tools such as Apache Airflow or equivalent workflow systems.
• Strong foundation in data engineering concepts, including data modeling, testing, lineage, quality checks, CI/CD, and version-controlled development.
• Ability to work responsibly with sensitive or regulated data and apply privacy, security, governance, and auditability standards.
• Ability to collaborate with clinical, business, analytics, and engineering stakeholders to turn unclear needs into practical AI solutions.

Preferred

• Experience with AWS AI/ML services such as SageMaker, Bedrock, Lambda, S3, ECR, EventBridge, or related services.
• Experience with AI-assisted development tools such as Claude Code, Copilot, Aider, Cursor, or similar workflows.
• Experience with agentic frameworks or orchestration patterns such as LangGraph, CrewAI, Copilot agents, MCP/tool-based architectures, or equivalent approaches.
• Experience with dbt, semantic layers, BI/reporting tools, Dash, QuickSight, Lightdash, Tableau, Looker, or custom reporting hubs.
• Experience with Docker, Kubernetes, GitLab/GitHub CI/CD, Terraform, infrastructure-as-code, or feature-store architectures.
• Healthcare, pharmacy, claims, care management, clinical analytics, or regulated-data experience.

Nice to Have

• Experience building AI systems over claims, care plans, medication data, transcripts, clinical notes, or operational healthcare documentation.
• Experience with human-in-the-loop workflows, structured + unstructured retrieval, model drift detection, AI governance, or domain-specific model adaptationExperience fine-tuning or adapting large language models for domain-specific use cases.

Values

• People First. We show we care because we believe in the power of human connection
• Spark Positivity. We each have the power to turn any challenge into something awesome.
• Stay Curious. We relentlessly discover and embrace new ideas to keep moving forward.

Benefits and Compensation

We offer a comprehensive benefits package

• Paid time off
• Medical, dental, and vision insurance
• Life and disability insurance
• 401(k) with company match
• Tuition reimbursement
• Additional benefits available to eligible employees

The salary range for this position is $115,000-130,000 based on experience and qualifications

Full-Time/Part-Time

Full-Time

EOE Statement

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

Location

Remote

This position is currently not accepting applications.

To search for an open position, please go to http://mobellc.appone.com

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