AI Engineer

Ledgent Technology is hiring an AI Engineer to help design and deploy AI-powered solutions that automate business workflows and improve operational efficiency. This role supports end-to-end delivery of intelligent agents and user-facing applications, with an emphasis on reliability, scalability, and building trust in AI outputs.

Role focus

• Identify business processes that can benefit from AI-driven automation.
• Design, build, and deploy AI agents that complete operational tasks end-to-end.
• Develop user-facing applications and interfaces to make AI outputs understandable and trustworthy.
• Define success criteria and create testing frameworks to evaluate AI performance.
• Monitor and improve AI systems across accuracy, reliability, cost, and response times.
• Work with data teams to ensure agents are grounded in trusted, high-quality data.
• Establish and maintain data access, security, and governance controls.
• Document system functionality, capabilities, and performance metrics.

Required qualifications

• 1-2 years of experience building and deploying AI/LLM-powered applications in production environments.
• Strong software engineering foundations, including testing, version control, and code reviews.
• Experience developing customer-facing or internal business applications.
• Proficiency with SQL and working with large-scale data environments.
• Understanding of AI agent architectures, retrieval systems, grounding techniques, and evaluation methodologies.
• Experience measuring and improving AI system performance and reliability.
• Strong communication skills and the ability to collaborate across technical and business teams.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (or equivalent experience).

Technologies

• SQL
• AI/LLM-powered applications
• Retrieval systems
• Grounding techniques
• Evaluation methodologies
• Retrieval-augmented generation (RAG)
• Vector databases
• Semantic search

Preferred qualifications

• Experience with AI agent frameworks, model APIs, and tool-calling architectures.
• Familiarity with AI evaluation, monitoring, and observability platforms.
• Knowledge of semantic search, vector databases, and RAG.
• Experience optimizing inference costs and application performance.
• Understanding of AI governance, data privacy, and access controls.

Compensation and location

Los Angeles, CA (remote)

USD 120,000 - 180,000 per year + Benefits