Job description

AI Engineer Location: Remote Salary: $120,000 - $180,000 + 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. All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.

Requirements

Must-haves

Location: Remote
Salary: $120,000 - $180,000 + Benefits
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.
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).

Nice-to-haves

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.

Application prep

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Keywords to mirror

aillmsql

Platform: careers-page
Effort: medium