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AI Engineer
Ref Id: HREZ-11265
Published Date: May 5, 2026
Job ID: 5889108
Number of openings: 1
General information
Ref Id: HREZ-11265
Published Date: May 5, 2026
Job ID: 5889108
Number of openings: 1
Description

AI Engineer

Location: California (Hybrid / Remote Eligible)
Department: Engineering
Reports To: Director of Engineering / Head of AI

About the Role

We are seeking an innovative and hands-on AI Engineer to design, build, and deploy intelligent systems that power next-generation products. This role focuses on developing scalable machine learning and generative AI solutions that enhance automation, decision-making, and user experience.
You will collaborate closely with product managers, data scientists, and software engineers to bring AI capabilities from concept to production.

Key Responsibilities

  • Design, develop, and deploy machine learning and AI models in production environments
  • Build and optimize LLM-powered applications, agents, and AI workflows
  • Develop data pipelines for training, evaluation, and monitoring models
  • Fine-tune and evaluate foundation models and NLP systems
  • Implement model serving, monitoring, and performance optimization strategies
  • Collaborate cross-functionally to translate business requirements into AI solutions
  • Maintain high standards for model reliability, scalability, and security
  • Stay current with emerging AI technologies and industry trends

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field
  • 3+ years of software engineering or machine learning experience
  • Strong programming skills in Python
  • Experience with machine learning frameworks (PyTorch, TensorFlow, or similar)
  • Experience working with large language models (LLMs) or NLP systems
  • Familiarity with APIs, microservices, and cloud platforms (AWS, GCP, or Azure)
  • Solid understanding of data structures, algorithms, and system design

Preferred Qualifications

  • Experience with Generative AI, RAG pipelines, or agent frameworks
  • Knowledge of vector databases and embeddings
  • Experience deploying models using Docker/Kubernetes
  • Familiarity with MLOps practices and CI/CD pipelines
  • Startup or high-growth SaaS experience

Tech Stack (Example)

Python • PyTorch • LangChain • OpenAI APIs • SQL/NoSQL • FastAPI • Docker • Kubernetes • AWS/GCP • Vector Databases

Compensation

  • Base Salary Range: $140,000 – $190,000 (California market estimate)
  • Equity options
  • Bonus eligibility
  • Comprehensive benefits package



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