L
AI Engineer
Ledgent Technology
6 hours ago
Full-time
On-site
Los Angeles, California, United States
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr