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Founding Applied AI/ML Engineer

USA Tech Recruit

California (MO)

Remote

USD 100,000 - 720,000

Full time

Yesterday
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Job summary

A leading company is seeking a Research and Recruitment Consultant to work remotely, focusing on AI-driven solutions. This role involves developing AI agent architectures and collaborating closely with the technical team to shape product and culture. Ideal candidates should have extensive experience in ML engineering and a strong educational background in computer science.

Qualifications

  • 5-7 years in production ML engineering, including 2 years in AI roles.
  • Expertise in LLM frameworks, RAG architectures, and NLP.

Responsibilities

  • Develop AI agent architecture and orchestration systems.
  • Implement AI observability and quality monitoring tools.
  • Design sentiment analysis and intent detection systems.

Skills

ML Engineering
NLP
AI Systems Deployment

Education

Bachelor's in Computer Science
Master's in Computer Science

Tools

LLM Frameworks
RAG Architectures

Job description

Direct message the job poster from USA Tech Recruit

Research and Recruitment Consultant | HPC, CPUs, GPUs, and FPGAs

We’re working with a startup redefining how B2B companies connect with their customers by integrating AI agents to transform customer operations. Their mission is to seamlessly blend digital and human touchpoints, delivering high-touch service at scale while maintaining a human-centered approach.

The founding team has extensive experience in generative AI and automation, with backgrounds at leading tech firms. Backed by top-tier investors and industry veterans, they're focused on elevating enterprise customer experiences through AI-driven solutions.

As an early engineering hire, you'll collaborate with the technical co-founder to architect and build core systems from scratch, shaping both the product and engineering culture.

This is a fully remote position, with preference for candidates in California and then New York.

Key Responsibilities:

  • Develop AI agent architecture and orchestration systems
  • Build and refine RAG pipelines for enterprise data integration
  • Create memory and knowledge graph systems that evolve with user interactions
  • Implement AI observability and quality monitoring tools
  • Develop predictive models for customer insights, including churn and growth
  • Design sentiment analysis and intent detection systems

Key Qualifications:

  • Experience: 5-7 years in production ML engineering, with at least 2 years in startups and 2 years in AI-focused roles
  • Skills: Expertise in LLM frameworks, RAG architectures, NLP, and deploying AI systems
  • Education: Bachelor’s or Master’s in Computer Science/Engineering or equivalent experience

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Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering, Design, and Information Technology
  • Industries
    IT Services and IT Consulting and Software Development

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