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