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Bitovi: Applied AI Engineer Consultant

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: CloudDevs
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

Headquarters: Chicago
URL:

JOIN OUR TEAM!

Bitovi helps companies create better web applications.

We are seeking candidates to help build production-ready Intelligent Automations and Agentic AI solutions for our diverse portfolio of enterprise clients. We guide our clients in building things the “right way”: maintainable, scalable, tested, and documented.

Bitovians are consultants who are knowledgeable and proficient communicators, helping enterprise clients make informed decisions for their applications.

Who you are

We are looking for a candidate with the following attributes:

  • Passion for using and building AI tools and solutions
  • Proven ability to deliver real-world solutions and platforms
  • Ability to lead and be an integral part of a team
  • Strongly motivated and able to work autonomously
  • Accepting of suggestions and constructive feedback
  • Driven to continuously learn and improve
  • Enjoys solving complex problems

Specific experience:

  • Developing automation tools at the enterprise level
  • Building workflow automation using tools such as n8n or Rivet
  • Strong working knowledge of Type Script or Python, and Lang Chain
  • Practical use of multiple AI models and content modalities
  • Leveraging vector databases and advanced RAG techniques
  • Utilizing tool calling and other advanced model features
  • Working directly with clients or other stakeholders

Other Skills we value:

  • Some exposure to cloud deployments and management, including AWS, Docker, and Kubernetes
  • Deep understanding of CI/CD pipelines, including Git Hub actions, Travis

    CI, and Code Build
  • Observability techniques, including logging, metrics, and tracing
  • Automated testing, including unit and integration testing, performance testing, and benchmarking
  • Fine-tuning models or building custom models
  • Deploying open-source models to production environments
  • Designing and building robust feedback systems for reinforcement learning
How to apply

Please share a resume and Linked In profile and answer the additional questions. Yes, we read through all the answers! At this time, we are placing a preference on candidates Nearshore who can work a minimum of 6 hours of overlap with the Eastern Time Zone.

Please note that we are not interested in working with recruiters. All job offers are contingent on passing a background check.

To apply:

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