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AI Data Engineer

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Onsite

AI Data Engineer

Brooksource

AI Data Engineer

Skills

PythonProduct ManagementJavaData AnalysisMachine LearningAIAWSNLP / Natural Language ProcessingCompliance

21 days ago

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Important information


Contract type:

Freelance / Contract

Location:

United States

Work mode:

Onsite

Published on:

30 September 2026

What they need


Senior AI Data Engineer

Contract (until EOY, probable extension)

Remote (CST/EST)

Pay Rate: $60-65/hr

Summary:

This AI Data Engineer will support this initiative, building AI agents that help customer service reps make faster, more accurate decisions during calls. The goal is for reps to focus entirely on the conversation while AI automatically surfaces the right information and recommends next steps for patient or provider inquiries. These engineers will help build and optimize the data and intelligence behind the AI agents so they can understand call context and provide reliable answers. Ultimately, the initiative is designed to reduce manual work, improve efficiency, and create a better customer experience.

Job Duties:

  • Drive responsible use of AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques.
  • Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs.
  • Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards.
  • Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities.
  • Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions.
  • Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges.
  • Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices.
  • Accountable for high-quality software deliverables and operational excellence.
  • Mentor and train team members on AI/ML technologies, frameworks, and responsible AIpractices.
  • Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives.
  • Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects.

Required Qualifications:

  • Undergraduate degree or equivalent experience
  • 6+ years of software engineering experience
  • 4+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models
  • Strong experience with Chatbots, Conversational AI, and NLP-based solutions
  • Strong experience with Agentic AI (MCP or similar agent orchestration frameworks) and Strands Agents
  • Strong experience in Python or Java
  • 4+ years of experience with Web and API development
  • 4+ years of experience hosting applications in cloud environments (AWS preferred)
  • Strong knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations

Preferred Qualifications:

  • BS in Computer Science, Engineering, or related technical field (or equivalent experience).
  • Experience in the healthcare industry.
  • Full-stack engineering experience.

ABOUT EIGHT ELEVEN:

Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

Pay Disclaimer:

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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