AI Engineer

AI Engineer

Location: Los Angeles Area (Hybrid/Onsite 1x/month)
Salary: $110,000 - $120,000 + Benefits

We are seeking an AI Engineer to design and deploy AI-powered solutions that automate real business processes and improve operational efficiency. This role focuses on building intelligent agents, developing user-facing applications, and ensuring AI systems are reliable, scalable, and trusted by end users. You'll work closely with stakeholders to identify automation opportunities and deliver impactful AI solutions in a fast-growing, AI-driven environment.

<>Responsibilities

• Identify and evaluate business workflows suitable for AI-driven automation.


• Design, build, and deploy AI agents that automate operational tasks end-to-end.


• Develop user-facing applications and interfaces that make AI outputs accessible and trustworthy.


• Define success criteria and build testing frameworks to evaluate AI performance.


• Monitor and improve AI systems based on accuracy, reliability, cost, and response times.


• Partner with data teams to ensure agents are grounded in trusted, high-quality data.


• Establish and maintain appropriate data access, security, and governance controls.


• Document system functionality, capabilities, and performance metrics.

<>Qualifications

• 1-2 years experience building and deploying AI/LLM-powered applications in production environments.


• Strong software engineering fundamentals, 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 with 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).

<>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 retrieval-augmented generation (RAG).


• Experience optimizing inference costs and application performance.


• Understanding of AI governance, data privacy, and access controls.