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Senior Fastapi Developer Jobs in Cleveland, OH (NOW HIRING)

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

SENIOR AI ENGINEER We are hiring a Senior AI Engineer to lead the development of our cloud-based ... Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve ...

Senior AI Engineer

Cleveland, OH · On-site

$101K - $139K/yr

SENIOR AI ENGINEER We are hiring a Senior AI Engineer to lead the development of our cloud-based ... Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve ...

Senior Fastapi Developer information

See Cleveland, OH salary details

$14

$59

$85

How much do senior fastapi developer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for senior fastapi developer in Cleveland, OH is $59.87, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $67.16 per hour, depending on experience, location, and employer.

What does a Senior FastAPI Developer do?

A Senior FastAPI Developer designs, develops, and maintains backend web applications using the FastAPI framework in Python. They are responsible for building scalable APIs, optimizing performance, ensuring security best practices, and integrating with databases and external services. Senior developers also mentor junior team members, contribute to architecture decisions, and collaborate closely with front-end engineers and stakeholders to deliver robust software solutions.

What are some common challenges faced by Senior FastAPI Developers when scaling applications, and how can these be addressed?

Senior FastAPI Developers often encounter challenges related to managing high concurrency, optimizing API performance, and ensuring robust security as applications scale. To address these, it’s important to implement asynchronous programming practices, leverage efficient database queries, and utilize API gateways for better traffic management. Collaboration with DevOps and QA teams is also essential to automate deployments and monitor system health, ensuring smooth scaling and reliable user experiences.

What are the key skills and qualifications needed to thrive as a Senior FastAPI Developer?

To thrive as a Senior FastAPI Developer, you need deep expertise in Python, RESTful API design, and experience building scalable web backends, typically supported by a degree in computer science or related field. Familiarity with FastAPI, Docker, cloud platforms (such as AWS or Azure), and CI/CD tools is highly valued, along with proficiency in testing frameworks. Strong problem-solving, leadership, and communication skills help you collaborate effectively with cross-functional teams and mentor junior developers. These skills enable the delivery of robust, efficient, and maintainable APIs that support business goals and high user demands.
What are the most commonly searched types of Fastapi Developer jobs in Cleveland, OH? The most popular types of Fastapi Developer jobs in Cleveland, OH are:
What are popular job titles related to Senior Fastapi Developer jobs in Cleveland, OH? For Senior Fastapi Developer jobs in Cleveland, OH, the most frequently searched job titles are:
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Senior AI Engineer

Further

Cleveland, OH • On-site, Remote

$101K - $139K/yr

Full-time

Re-posted 28 days ago


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:

  • 12+ years of years experience developing and deploying Data Science and ML solutions
  • 3+ years of experience working directly with GenAI/RAG/LLM architecture
  • Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
  • Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
  • Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
  • Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
  • Nice to have: Experience in Typescript development for prototyping and integrations
  • Nice to have: Proficiency with git workflows and understanding of standard application development processes

Preferred 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 language models at scale.
  • Design advanced Retrieval-Augmented Generation (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!

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