Senior AI Engineer

Further; Cleveland (OH); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Net-zero cost medical option

Company contributions to HSA

Fully-paid parental leave

Monthly stipend for lifestyle spending

Job summary

Further, a data and AI company in Cleveland, is seeking a Senior AI Engineer to lead the development of cloud-based AI products. This role requires expertise in Python and LLM frameworks, transitioning AI prototypes to production-grade applications while maintaining ethical standards.

The ideal candidate should have 6+ years of software engineering experience, a strong background in AI/ML application development, and proficiency in API architecture. Exceptional benefits are included such as net-zero cost medical options, fully-paid parental leave, and more.

Qualifications

• 6+ years of software engineering experience with 3 years in AI/ML.
• Deep experience building production applications with LLM frameworks.
• Hands-on expertise with vector databases and search algorithms.

Responsibilities

• Lead the implementation of evaluation frameworks for model performance.
• Architect and develop backend services and APIs using Python.
• Build integration layers connecting AI agents to external systems.

Skills

Python AI application development

API architecture (REST, GraphQL)

Production applications with LLM frameworks

LLMOps principles

Vector databases (Pinecone, Weaviate)

Typescript development

Git workflows

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.

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, 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.
• Experience in Typescript development for prototyping and integrations.
• 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.

Benefits

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.