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Mind Computing
AI

AI Engineer (Remote)

Mind Computing · · $401k

Actively hiring Posted 3 months ago

Responsibilities

  • Design and develop AI-enabled services and applications using Python and modern cloud-native architectures.
  • Integrate large language models (LLMs) and AI APIs into production systems to enable intelligent automation and decision support.
  • Build scalable microservices and APIs that support AI-driven workflows and data processing.
  • Develop pipelines and services that process structured and unstructured data to support intelligent applications.
  • Implement secure APIs and event-driven architectures that support data integration and AI-enabled services.
  • Optimize AI-powered applications for performance, reliability, and scalability in cloud environments.
  • Collaborate with engineers, product teams, and stakeholders to translate AI concepts into deployable solutions.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Basic qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
  • 3–6 years of professional software engineering experience for mid-level candidates, or 6+ years for senior candidates, with hands-on experience developing or deploying AI-enabled applications.
  • Strong programming skills in Python for developing AI-enabled applications, APIs, and microservices.
  • Hands-on experience integrating Large Language Models (LLMs) or AI APIs (such as OpenAI, Bedrock, Claude, or similar) into production environments.
  • Experience developing cloud-native applications using platforms such as AWS, Azure, or Google Cloud.
  • Experience building REST APIs, microservices, and distributed systems that support scalable AI workflows.
  • Familiarity with AI development frameworks and tools such as LangChain, Hugging Face, vector databases, or similar technologies.
  • Experience working with modern development practices including Git, CI/CD pipelines, containerization, and DevOps workflows.
  • Strong analytical and problem-solving abilities with the ability to troubleshoot complex systems.
  • Effective communication and collaboration skills within cross-functional engineering teams.
  • Strong attention to detail and commitment to building reliable, high-quality software solutions.
  • Experience deploying AI solutions within regulated environments such as healthcare or government systems.
  • Familiarity with FHIR, HL7, or healthcare interoperability standards.
  • Experience with LLM orchestration frameworks or agent-based architecture.
  • Experience with containerization technologies such as Docker or Kubernetes.
  • Experience working with the Department of Veterans Affairs (VA).
  • Ability to obtain a U.S. government clearance.

Benefits

  • Medical/Dental/Vision
  • 401k with Employer Match
  • PTO + Federal Holidays
  • Corporate Laptop
  • Training Opportunities

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Fulltime Remote Ai Ai Engineer Generative Ai
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