ZipRecruiter

Log In

1

Llm Developer Jobs in Edmond, OK (NOW HIRING)

Life.Church

Senior Data Engineer

Edmond, OK

$95K - $130K/yr

Enable ML & LLM Use Cases: Prepare and curate datasets suitable for predictive modeling ... Programming: Experience with Python, Go, Java, or similar general-purpose languages. * Data ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

Enable ML & LLM Use Cases: Prepare and curate datasets suitable for predictive modeling ... Programming: Experience with Python, Go, Java, or similar general-purpose languages. * Data ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

The Senior Data Engineer is responsible for shaping, implementing, and maintaining data pipelines ... Prepare and curate datasets suitable for predictive modeling, experimentation, and LLM-driven ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

... and LLM-driven applications. • Design data pipelines and schemas that support training, evaluation, and inference workflows in partnership with ML-focused engineers. • Contribute to data ...

Global Payments

AI Engineer

Oklahoma City, OK · On-site

Integrate vector databases (e.g., PGVector) and LLM orchestration tools to support retrieval and ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 4+ years of ...

ANAUTICS INC

Staff Full-Stack Engineer

Oklahoma City, OK · On-site

$120 - $150/hr

Set engineering patterns across frontend, backend, data, and cloud systems. * Mentor engineers and ... AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.

ANAUTICS INC

DevSecOps Engineer

Oklahoma City, OK · On-site

$90 - $130/hr

Partner with engineers to remediate issues and improve secure design patterns. * Document and ... AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.

Teleflora

Data Scientist, Modeler

Oklahoma City, OK · On-site +1

Lead adoption of AI/LLM capabilities across analytics and business workflows * Identify and ... Data Engineering / DW team * Product, Marketing, and Finance stakeholders * Help define scalable ...

ANAUTICS INC

Forward Deployed Engineer

Oklahoma City, OK · On-site

$80 - $100/hr

Bridge the gap between field reality and production engineering. * Prototype fast, learn from users ... AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.

Relativity

Software Engineer

Oklahoma City, OK · On-site

Understanding of DevOps principles and experience with tools such as GitHub Actions * Experience working with large language model (LLM) APIs or generative AI systems * Experience designing and ...

Pwc

GenAI Python Systems Engineer-Manager

Oklahoma City, OK · On-site

$99K - $232K/yr

... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS CloudFormation, Azure Resource Manager, Terraform - Building and deploying DevOps pipelines with cloud ...

next page

Showing results 1-20

All JobsLlm Developer JobsLlm Developer Jobs in Edmond, OK

Llm Developer information

See Edmond, OK salary details

$22

$44

$70

How much do llm developer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for llm developer in Edmond, OK is $44.73, according to ZipRecruiter salary data. Most workers in this role earn between $35.14 and $54.23 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

What are popular job titles related to Llm Developer jobs in Edmond, OK?

For Llm Developer jobs in Edmond, OK, the most frequently searched job titles are:

What cities near Edmond, OK are hiring for Llm Developer jobs?

Cities near Edmond, OK with the most Llm Developer job openings:

Llm Developer jobs near you

Senior Software Engineer Applied AI

Oklahoma City, OK • On-site

Advanced Monitored Caregiving Inc.
See more jobs at Advanced Monitored Caregiving Inc.external

$120 - $170/hr

Other

Re-posted 11 days ago

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real‑time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you’ll work across
  • Streaming, low‑latency speech‑to‑speech systems built on modern LLMs
  • Telephony and real‑time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency‑sensitive path, where p99 matters and a stall is something a caller hears
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi‑model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM‑as‑judge and automated agent‑tests‑agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (non‑LLM) machine learning
  • End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real‑world data; calibration and explainability for non‑technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines
Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least‑privilege access, strict data‑handling discipline
  • Observability and telemetry‑driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

Occasional full‑stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you’ll actually do
  • Ship and debug code on a live, real‑time voice pipeline where latency and correctness are user‑facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch‑analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor
Must‑haves
  • 7+ years building and operating production backend systems, with strong general‑purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands‑on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data
Nice‑to‑haves
  • Real‑time media or telephony experience
  • Front‑end / full‑stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)
How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

#J-18808-Ljbffr

Apply