ZipRecruiter

Log In

1

Llm Engineer Jobs Near Me

Whiz Global LLC

ML Engineer

Columbus, OH · On-site

ML Engineer (AI/LLM & Cloud) Location: Jersey City, NJ (Hybrid - 3 Days Onsite) OR Columbus, OH (5 Days Onsite) Duration: Contract-to-Hire Job Summary We are seeking a highly experienced ML Engineer ...

Deloitte

AI Engineer Consultant

Columbus, OH · Hybrid

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry. * Deliver governed datasets and feature ...

Whiz Global LLC

ML engineer

Columbus, OH · On-site

ML Engineering role focused on building AI solutions and integrating them into the existing ... Experience building and deploying Large Language Model (LLM) solutions. * Hands-on experience with ...

Kobie Marketing

AI Engineer

Columbus, OH · Remote

Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Kobie Marketing

AI Engineer

Columbus, OH · Remote

Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

AppFolio

Sr. Machine Learning Engineer

Columbus, OH

$100K - $138K/yr

LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs ... Engineering: Expert Python, async programming, and WebSockets for real-time, bidirectional ...

New

AppFolio

Sr. Machine Learning Engineer

Columbus, OH · On-site

$100K - $138K/yr

LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs ... Engineering: Expert Python, async programming, and WebSockets for real-time, bidirectional ...

New

Lorven Technologies, Inc.

AI Engineer

Columbus, OH · On-site

AI Engineer Location: Columbus, OH (Onsite) We are looking for an experienced AI Engineer to join ... LLM-powered applications, and working with modern cloud platforms in an enterprise environment.

Lorven Technologies

AI Engineer

Columbus, OH · On-site

AI Engineer Location: Columbus, OH (Onsite) We are looking for an experienced AI Engineer to join ... LLM-powered applications, and working with modern cloud platforms in an enterprise environment.

next page

Showing results 1-20

All JobsLlm Engineer JobsLlm Engineer Jobs Near Me

Llm Engineer information

See salary details

$25

$53

$76

How much do llm engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for llm engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What are popular job titles related to Llm Engineer jobs?

For Llm Engineer jobs, the most frequently searched job titles are:

What job categories do people searching Llm Engineer jobs look for?

The top searched job categories for Llm Engineer jobs are:

What cities are hiring for Llm Engineer jobs?

Cities with the most Llm Engineer job openings:

What states have the most Llm Engineer jobs?

States with the most job openings for Llm Engineer jobs include:

What are the most commonly searched types of Llm Engineer jobs?

The most popular types of Llm Engineer jobs are:

Llm Engineer jobs near you
A map of the United States highlighting the number of Llm Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Llm Engineer job openings in each state, with California having the most at 2 and Alaska the least at 0.

ML Engineer

Whiz Global LLC

Columbus, OH • On-site

Other

Posted 21 days ago

Job description

Job Title: ML Engineer (AI/LLM & Cloud)

Location: Jersey City, NJ (Hybrid – 3 Days Onsite) OR Columbus, OH (5 Days Onsite)
Duration: Contract-to-Hire

Job Summary

We are seeking a highly experienced ML Engineer to design, build, deploy, and integrate enterprise-scale AI/ML solutions within the JPMorgan Chase ecosystem. This role focuses on engineering production-ready machine learning applications, Large Language Model (LLM) solutions, and cloud-native ML platforms while partnering closely with Data Science teams and business stakeholders.

The ideal candidate is a hands-on engineer with strong Python expertise, cloud experience, and MLOps knowledge who can lead technical initiatives and deliver scalable AI solutions.

Key Responsibilities
  • Design, develop, deploy, and maintain scalable AI/ML applications.
  • Build production-ready machine learning systems and infrastructure.
  • Productionize machine learning models developed by Data Science teams.
  • Design and deploy Large Language Model (LLM) applications.
  • Integrate AI solutions into AWS and JPMorgan Chase internal cloud platforms.
  • Develop scalable model serving and inference pipelines.
  • Implement CI/CD pipelines for ML applications.
  • Build monitoring, observability, model drift detection, and automated retraining solutions.
  • Optimize AI applications for performance, scalability, reliability, and cost.
  • Collaborate with Product Managers, Data Scientists, Software Engineers, and Business SMEs.
  • Mentor junior engineers and provide technical leadership through architecture guidance and code reviews.
  • Research and implement modern AI/ML technologies and best practices.
Required Qualifications
  • Bachelor''s or Master''s degree in Computer Science, Engineering, Data Science, or a related field.
  • 10+ years of hands-on experience developing and deploying machine learning solutions in production.
  • Expert-level programming experience with Python.
  • Basic understanding of Java or Scala.
  • Strong experience with software engineering principles, data structures, algorithms, and distributed systems.
  • Extensive experience with AWS Cloud.
  • Experience deploying applications across public cloud and enterprise cloud platforms.
  • Hands-on experience with Docker and Kubernetes.
  • Strong experience with MLOps tools including MLflow, Kubeflow, SageMaker, or Vertex AI.
  • Experience implementing CI/CD pipelines for machine learning applications.
  • Experience designing scalable ML infrastructure and distributed data processing systems.
  • Proven ability to lead technical initiatives and mentor engineering teams.
Preferred Qualifications
  • Experience building and deploying Large Language Model (LLM) solutions.
  • Hands-on experience with Amazon Bedrock.
  • Experience with Generative AI applications.
  • Strong understanding of TensorFlow, PyTorch, or Scikit-learn.
  • Experience with Deep Learning, NLP, or Computer Vision.
  • Experience with distributed model training and high-throughput inference systems.
  • Knowledge of model optimization and AI performance tuning.

Apply