AI Engineer
LightEdge Solutions
full-time
Posted on:
Location Type: Remote
Location: Iowa • United States
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Tech Stack
About the role
- 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 (e.g., ServiceNow, CRM, ERP, data lake).
- 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 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.
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
- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
- bonuses
- stock options
- equipment allowances
- wellness programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonJavaScriptTypeScriptJavaC#microservicesdistributed systemsCI/CD PipelineDevOpsmachine learning
Soft Skills
communicationcollaborationstrategic advisingproblem-solvingoptimization
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Data ScienceMaster's degree in Engineering