AI Engineer Job Riverside area,California USA,Software Development

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, per year + Benefits