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Contract Llm Developer Jobs Near Me

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 ...

... contracts and Pydantic validation Evaluation and Reliability ... Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ...

... contracts and Pydantic validation Evaluation and Reliability ... Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ...

... contracts, testing, and packaging. • Solid AWS background with working knowledge of ECS or EKS ... Preferred : • Expertise with distributed orchestration patterns for LLM applications (graph-based ...

... contracts, testing, and packaging. * Solid AWS background with working knowledge of ECS or EKS ... Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context ...

... contracts, testing, and packaging. * Solid AWS background with working knowledge of ECS or EKS ... Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context ...

... contracts, testing, and packaging. * Solid AWS background with working knowledge of ECS or EKS ... Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context ...

... contracts, testing, and packaging. * Solid AWS background with working knowledge of ECS or EKS ... Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context ...

... contracts, testing, and packaging. * Solid AWS background with working knowledge of ECS or EKS ... Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context ...

... contracts, testing, and packaging. * Solid AWS background with working knowledge of ECS or EKS ... Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context ...

... contracts, testing, and packaging. • Solid AWS background with working knowledge of ECS or EKS ... Preferred : • Expertise with distributed orchestration patterns for LLM applications (graph-based ...

... contracts, testing, and packaging. * Solid AWS background with working knowledge of ECS or EKS ... Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context ...

... contracts, testing, and packaging. * Solid AWS background with working knowledge of ECS or EKS ... Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context ...

... contracts, testing, and packaging. * Solid AWS background with working knowledge of ECS or EKS ... Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context ...

Lead AI Engineer

Columbus, OH · Remote

$104K - $138K/yr

Remote (Ohio) Duration: Long-term Contract Interview: Microsoft Teams Position Overview The State ... NLP & LLM-based solutions * Strong programming skills in: * Python * C# * .NET * JavaScript

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How much do contract llm developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for contract llm developer in the United States is $50.17, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $60.82 per hour, depending on experience, location, and employer.

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

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Posted 29 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.