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Senior AI Engineer in Cleveland

Job in Cleveland, Cuyahoga County, Ohio, 44101, USA
Listing for: Energy Jobline ZR
Full Time position
Listed on 2026-05-16
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Job Description Job Description

WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.

If this sounds exciting to you, let's chat!

Senior AI Engineer

We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.

What

experience should you have
  • 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
  • Expert proficiency in Python AI application development and modern API architecture (REST, Graph

    QL, gRPC) using enterprise standards like static type checking and data validation.
  • Deep experience building production applications with LLM frameworks such as Lang Chain, Lang Graph or Llama Index.
  • Hands‑on expertise with vector databases (Pinecone, Weaviate, Postgre

    SQL) and search algorithms.
  • Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
  • Experience in Typescript development for prototyping and integrations
  • Proficiency with git workflows and understanding of standard application development processes
Qualifications
  • Knowledge of advanced prompt engineering and fine‑tuning techniques (LoRA, PEFT).
  • Experience optimizing inference costs and latency for large-scale deployments.
  • Previous experience in a client‑facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
  • Any Google Cloud Professional Certification
What you'll be doing in this role
  • Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real‑time.
  • Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large models at scale.
  • Design advanced Retrieval‑Augmented (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
  • Establish comprehensive model observability and guardrail systems to monitor real‑time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
  • Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
  • Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
  • Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
  • Define the end‑to‑end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.
What you'll need to accomplish in your first year
  • Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
  • Mentor engineers on best practices for building deterministic software around probabilistic AI models.

Our total rewards program is designed for your protection, peace of mind, and overall well‑being. In addition to our outstanding basics, we offer a net‑zero cost medical option, company contributions to your HSA, fertility support, fully‑paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.

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Position Requirements
10+ Years work experience
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