AI Engineer

Role Overview

• 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.

Tech Stack

• AWS
• Azure
• Cloud
• Cyber Security
• Distributed Systems
• ERP
• Google Cloud Platform
• Java
• JavaScript
• Microservices
• Python
• ServiceNow
• TypeScript

Benefits

• health insurance
• retirement plans
• paid time off
• flexible work arrangements
• professional development
• bonuses
• stock options
• equipment allowances
• wellness programs