AI Engineer

Ledgent Technology

Los Angeles (CA)

À distance

USD 120 000 - 180 000

Plein temps

Il y a 3 jours
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Résumé du poste

Ledgent Technology seeks an AI Engineer in Los Angeles with 1–2 years of hands-on experience building and deploying AI/LLM-powered applications. You will design, deploy, and monitor AI agents, build user-facing interfaces, and collaborate with data teams to ensure high-quality data and reliable systems.

We value strong software fundamentals (testing, version control, code reviews) and experience with SQL and large-scale data environments.

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 large-scale data environments.
  • Understanding of AI agent architectures, grounding techniques, and evaluation methodologies.

Responsabilités

  • Identify business processes that can benefit from AI-driven automation.
  • Design, build, and deploy AI agents that complete 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 high-quality data.
  • Establish and maintain data access, security, and governance controls.
  • Document system functionality, capabilities, and performance metrics.

Connaissances

AI/LLM development
Testing
Version control
Code reviews
SQL
Large-scale data handling
Communication

Formation

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics

Outils

SQL
Vector databases
Retrieval systems
Grounding techniques
RAG (Retrieval-Augmented Generation)
Semantic search

Description du poste

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

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