How does DevFound's AI job matching work?

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

Is AI job searching better than traditional methods?

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

What skills are needed for AI and ML jobs?

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

How do I get matched with AI jobs faster?

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

What locations have the most AI job opportunities?

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

Can DevFound's AI help with remote AI jobs?

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Azure AI Engineer in Huntington Beach at Ledgent Technology

Direct message the job poster from Ledgent Technology

Lisa Choe

Senior Technical Recruiter @ Ledgent Technology | Technical Recruiting

🚫 No Corp-to-corp / No Third-Party Agencies.🚀 We're Hiring on behalf of our client for Azure AI Engineer📍 100% Onsite in Huntington Beach, CA💰 Up to 135,000 annual salary (DOE)💼: Full-Time, Direct Hire
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We're seeking an Azure AI Engineer to design, build, and deploy intelligent solutions powered by Azure AI services, Azure AI Foundry, OpenAI on Azure, and Copilot Studio. This role focuses on advanced LLM development, forecasting and time‑series modeling, autonomous AI agents, and Lakehouse architecture to accelerate automation and business transformation..
What You'll Do

Develop end‑to‑end AI/ML solutions using Azure Machine Learning, Azure AI Foundry, OpenAI on Azure, and Copilot Studio.
Build and fine‑tune LLM‑based applications for both internal and customer‑facing use cases.
Create and maintain Python‑based data pipelines and ML models.
Implement forecasting and time‑series models for operational and business planning.
Integrate AI capabilities into business applications using the Power Platform, Azure Cognitive Services, and Copilot Studio.
Develop autonomous AI Agents and enable A2A (Agent‑to‑Agent) communication for complex workflow orchestration.
Implement MCP (Model Context Protocol) to support context sharing and system interoperability.
Architect and build Lakehouse solutions using Microsoft Fabric and Delta Lake following Medallion Architecture best practices.
Ensure Responsible AI: model monitoring, fairness, and explainability.
Stay current on new AI/ML, LLM, and Microsoft ecosystem innovations.
Collaborate effectively across teams, uphold quality standards, and support department KPIs.
Other duties as assigned; some travel may be required.

Required Qualifications

5+ years in AI/ML engineering or similar roles.
Strong Python skills and experience with ML frameworks (scikit‑learn, PyTorch, TensorFlow).
Hands‑on experience with Azure AI services, Azure ML, and OpenAI on Azure.
Experience building solutions with Copilot Studio and Power Platform.
Strong forecasting/time‑series modeling skills (ARIMA, Prophet, LSTM, etc.).
Knowledge of LLMs, prompt engineering, and fine‑tuning.
Experience with Lakehouse architectures (Azure Synapse, Databricks, Microsoft Fabric).
Familiarity with Medallion Architecture best practices.
Strong DevOps/MLOps foundation with CI/CD for ML.
Experience with MCP and A2A communication for autonomous agents.
Excellent communication and collaboration skills.

..
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, and Los Angeles County Fair Chance Ordinance.

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Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology

Industries

Packaging and Containers Manufacturing

Tags & focus areas

Used for matching and alerts on DevFound

Ai Ai Engineer