AI/ML Engineer (Agentic & Generative AI)

HuLoop Automation

Auburn (CA)

On-site

USD 85,000 - 125,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401K plan
Paid vacation

Job summary

HuLoop Automation is seeking an AI/ML Engineer to join their team in Auburn, California. This position focuses on developing Agentic and Generative AI technologies, providing a hands-on opportunity for early-career engineers to engage directly with product and AI leaders.

With a competitive compensation package ranging from $85K to $125K, the role requires a passion for AI, experience in Python, and a strong desire to learn. The successful candidate will collaborate across teams to enhance AI capabilities.

Qualifications

  • Bachelor's degree in a relevant field required.
  • Interest in Generative AI and intelligent agents is essential.
  • Experience with Python through coursework or internships.

Responsibilities

  • Assist in developing Agentic AI capabilities.
  • Build and test AI workflows and intelligent agent behaviors.
  • Collaborate across teams for efficient project delivery.

Skills

Python development
Generative AI
Analytical skills
Communication
Collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

OpenAI GPT
GitHub Copilot
AWS
Docker

Job description

AI/ML Engineer (Agentic & Generative AI)

HuLoop Automation is an AI-powered work optimization platform helping organizations eliminate broken work, streamline operations, and scale productivity without growing headcount at the same rate.

At the core of our Human-in-the-Loop ethos, our Intelligent Agents work alongside people to automate repetitive tasks, orchestrate workflows, and improve operational efficiency across the enterprise.

HuLoop unifies Productivity Discovery, Work Orchestration, Process Automation, Agentic Operations, Content Processing, QuickApp Building, and Test Automation into a single AI-powered platform designed for the future of work.

We work with innovative organizations across banking, credit unions, retail, wholesale distribution, collections, and other operationally complex industries.

Job Location:
  • Potential candidates must be authorized to work in the United States.
Job Type:
  • Full Time, Permanent
Compensation:
  • $85K-$125K depending on experience, technical capabilities, and overall fit.
Job Description:

HuLoop Automation is seeking a motivated and highly curious AI/ML Engineer focused on Agentic and Generative AI technologies.

This is an outstanding opportunity for an early-career engineer or recent college graduate who is passionate about AI and wants hands-on experience building real-world enterprise AI systems. You will work directly with experienced engineering, product, and AI leaders to help develop intelligent agents, LLM-powered workflows, AI-assisted automation, and next-generation work optimization capabilities.

We are looking for someone who is excited about frontier AI technologies, enjoys solving practical business problems, and wants to grow rapidly in a fast-moving innovation environment.

Job Responsibilities:
  • Assist in developing Agentic AI and Generative AI capabilities within the HuLoop platform.
  • Build and test AI-powered workflows, prompts, orchestration logic, and intelligent agent behaviors.
  • Develop applications and services using Python and modern AI frameworks.
  • Work with frontier AI models including OpenAI GPT, Anthropic Claude, and Google Gemini.
  • Support development of Retrieval-Augmented Generation (RAG) pipelines and vector-based knowledge systems.
  • Collaborate with Product Management, Engineering, QA, and DevOps teams.
  • Participate in code reviews, testing, debugging, and troubleshooting activities.
  • Research emerging AI technologies and recommend practical use cases.
  • Utilize GitHub Copilot and AI-assisted development tools to accelerate productivity.
  • Help improve scalability, performance, and usability of HuLoop’s AI capabilities.
Job Requirements:
  • Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or related field.
  • Strong interest in Generative AI, Large Language Models (LLMs), and intelligent agents.
  • Experience with Python development through coursework, internships, projects, or professional work.
  • Familiarity with APIs, JSON, REST services, and general software engineering concepts.
  • Understanding of AI/ML fundamentals and prompt engineering concepts.
  • Strong analytical and problem-solving skills.
  • Strong communication and collaboration abilities.
  • Desire to learn quickly in a fast-paced startup environment.
Preferred Qualifications:
  • Internship, academic, or personal project experience involving AI/ML or LLMs.
  • Familiarity with Anthropic Claude, OpenAI GPT, Google Gemini, or similar AI platforms.
  • Experience using GitHub Copilot or other AI-assisted coding tools.
  • Familiarity with LangChain, LangGraph, Semantic Kernel, CrewAI, or similar frameworks.
  • Exposure to cloud platforms such as Microsoft Azure or AWS.
  • Experience with GitHub, Docker, CI/CD pipelines, or containerization.
  • Coursework or projects involving AI agents, automation, orchestration, or workflow systems.
  • Exposure to TypeScript, Angular, Java, or C# is beneficial.
What Success Looks Like
  • Learns quickly and contributes meaningfully to AI-powered platform capabilities.
  • Demonstrates curiosity, initiative, and strong technical problem-solving skills.
  • Helps deliver practical AI solutions that improve real-world business operations.
  • Collaborates effectively across engineering and product teams.
  • Continuously improves technical skills and stays current with emerging AI technologies.
  • Contributes to HuLoop’s mission of making AI radically simple, fast, and affordable.
Equal Employment Opportunity Company:
  • HuLoop is an Equal Employment Opportunity company that offers an excellent benefit package that includes Medical, Dental, Vision and 401K. The company also offers paid vacation, holidays, and sick time.
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