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AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 51-200Since 1998H1B No SponsorCompany SiteLinkedIn

Location

Iowa

Posted

78 days ago

Salary

0

Seniority

Senior

Job Description

AI Engineer

LightEdge Solutions

• Design, develop, and maintain production-grade AI/ML code, services, and integrations • Build and iterate on AI prototypes, proofs of concept, and production systems • Contribute to codebases, CI/CD pipelines, and engineering standards for AI solutions • Collaborate with teams to ensure maintainable, testable, and scalable implementations • Design and operate agent-driven systems that autonomously execute workflows, with humans providing oversight, governance, and continuous optimization • Partner with business units to identify and evaluate high-value AI opportunities that align with Lightedge’s strategic goals • Contribute to the design of scalable and cyber-resilient AI and ML solutions, ensuring seamless integration with enterprise systems • Collaborate with data engineering and platform teams to operationalize AI models and embed intelligence into workflows and customer experiences • Ensure all AI initiatives align with enterprise data governance, security, and privacy standards • Act as a technical and strategic advisor to business stakeholders on how to responsibly leverage emerging AI technologies • Work closely with product management, IT, and Operations, and Security teams to ensure a secure, resilient, consistent delivery, and maintainability • Regularly communicate with executive leadership and business stakeholders to align AI strategy with organizational goals • Monitor, evaluate, and optimize the performance of deployed AI models and systems • Own post-deployment support, monitoring, and continuous improvement of AI systems until transitioned to long-term support • Ensure that all underlying systems are protected against cybersecurity threats and can recover rapidly in the event of a cyberattack or unexpected system outage • Develop and implement AI governance frameworks and ensure ethical AI practices, including maintenance of architectural diagrams, model documentation, and compliance records for AI systems • Work with the Sales team as needed, serving as an AI SME during the sales cycle for new customers

Job Requirements

  • Proficiency in Python for AI/ML and data processing
  • Experience with one or more of JavaScript/TypeScript, Java, or C# for API and application development
  • Experience with building microservices, distributed systems, CI/CD Pipeline, and DevOps practices
  • Experience evaluating AI model outputs, including prompt testing, benchmarking, and performance tuning
  • Knowledge of vector databases, RAG pipelines, or LLM orchestration frameworks
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or equivalent experience
  • 3+ years of experience working with machine learning, NLP, or generative AI technologies, including RAG pipelines, vector databases, and prompt engineering
  • Strong proficiency in cloud platforms (Azure, AWS, or GCP) and API-based integrations
  • Experience deploying models via REST APIs, data pipelines, or event-driven frameworks
  • Working knowledge of data governance, model monitoring, and security principles
  • Excellent communication skills and ability to translate technical concepts into business value

Benefits

  • AI governance frameworks
  • Ethical AI practices
  • Post-deployment support and ongoing improvements

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