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Python Llm Jobs in Missouri (NOW HIRING)

... Python Test Automation (Selenium / Playwright / PyTest) AI Evaluation Metrics (Accuracy ... Validate LLM responses for accuracy, relevance, consistency, and hallucination rates. Test RAG ...

Python * Test Automation (Selenium / Playwright / PyTest) * AI Evaluation Metrics (Accuracy ... Validate LLM responses for accuracy, relevance, consistency, and hallucination rates. * Test RAG ...

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

... Python backend services for LLM inference orchestration, async job handling, streaming responses, and distributed data workflows supporting high-throughput Gen AI operations. • Engineer state ...

QA Test Engineer

Chesterfield, MO · On-site

$40.75 - $55.75/hr

Responsibilities : • 3+ years in QA automation or SDET-type work (adjust by level); 1+ year exposure to AI/LLM or ML-driven features is a plus. • Strong test automation in Python and/or Java ...

... clients an LLM-native way to work with complex loyalty logic. We're looking for a hands-on AI ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Large Language Model (LLM) applications * Retrieval-Augmented Generation (RAG) * Agentic AI ... Python * Java * TypeScript * Agentic AI * Retrieval-Augmented Generation (RAG) * AI Assistants * AI ...

$44 - $58.50/hr

You will help ensure AI workloads, LLM applications, and cloud infrastructure remain measurable ... Develop internal tooling and automation solutions using Python for instrumentation and data ...

Staff Software Engineer

Saint Louis, MO · On-site

$110K - $165K/yr

Preferred Qualifications: * 10+ years of software engineering experience, with deep recent time leading production AI/LLM systems * Proven expertise in Python and ML frameworks (MLFlow, TensorFlow ...

Experience using frameworks to build LLM-based agentic workflows such LangSmith/LangGraph or ... Proficient in Python, Java or similar general-purpose programming languages. * Bachelor's degree or ...

New

Staff Software Engineer

Saint Louis, MO · On-site

$110K - $165K/yr

Preferred Qualifications: * 10+ years of software engineering experience, with deep recent time leading production AI/LLM systems * Proven expertise in Python and ML frameworks (MLFlow, TensorFlow ...

LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and ...

New

Experience developing AI and ML algorithms or technologies (e.g., LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Passion for staying ...

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Design and maintain API integrations with internal and external systems, including Python- and PySpark-based services and AI/LLM-powered APIs for advanced analytics and automation * Administer and ...

Data Scientist_5

California, MO · On-site

$150 - $170/hr

Design and develop LLM-powered applications such as agentic chatbots, smart search, contextual ... Proficiency in Python and ML libraries like PyTorch, TensorFlow, scikit‑learn. * Experience with ...

Showing results 21-40

Python Llm information

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are the most commonly searched types of Python Llm jobs in Missouri?

The most popular types of Python Llm jobs in Missouri are:

What are popular job titles related to Python Llm jobs in Missouri?

For Python Llm jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Python Llm jobs?

Cities in Missouri with the most Python Llm job openings:

Infographic showing various Python Llm job openings in Missouri as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Principal Engineer - Local AI, Agents and Systems

Jobtailor

California, MO • On-site

$180 - $240/hr

Other

Posted 3 days ago

New


Job description

  • Act as the lead engineer for developing agent frameworks natively on Windows environments
  • Build the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops
  • Lead engineering efforts to optimize agent runtimes for Windows
  • Ensure autonomous agents operate within detailed, policy-based privacy and security frameworks
  • Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community
  • Ensure consumer hardware provides an excellent ecosystem for autonomous agents
  • Foster a collaborative engineering culture by mentoring other engineers and writing reliable, production-ready code
Requirements
  • 15+ years of relevant professional software engineering experience
  • At least 3+ years in Staff or Lead Architect role
  • BS, MS, or PhD in Computer Science, Computer Engineering, or related field (or equivalent experience)
  • Deep understanding of Windows OS internals, process isolation, sandboxing technologies, and system-level security architecture
  • Proven understanding of LLM inference pipelines (Ollama, Llama.cpp, vLLM), GPU-accelerated computing (CUDA, TensorRT), and experience running local models on consumer-grade hardware
  • Practical experience with modern AI orchestration and agentic frameworks (e.g., OpenClaw, Hermes, LangChain)
  • Proficiency in C++ (for performance-critical systems/OS integration) and Python (for AI/blueprint logic)
  • Experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem.
Core Competencies

Demonstrates expertise in developing agent frameworks for Windows environments, with a strong focus on optimizing AI assistants and ensuring compliance with privacy and security standards. Proven ability to lead engineering teams and mentor peers while delivering reliable, production-ready code.

Highest-signal resume keywords
  • Windows OS Internals
  • C++ Proficiency
  • Python Proficiency
  • LLM Inference Pipelines
  • AI Orchestration Frameworks
ATS Optimization KeywordsHard Skills
  • Software Engineering
  • System-Level Security Architecture
  • GPU-Accelerated Computing
  • Virtualization Tools
  • Containerization Tools
  • Sandboxing Technologies
  • Agent Framework Development
  • Performance-Critical Systems Integration
  • AI/Blueprint Logic
  • Process Isolation
Soft Skills
  • Mentoring
  • Collaboration
  • Leadership
Certifications & Qualifications
  • BS in Computer Science
  • MS in Computer Engineering
  • PhD in Related Field
Industry Keywords
  • AI Assistants
  • Consumer Hardware
  • Privacy Frameworks
  • Security Frameworks
  • Engineering Culture
Tools & Technologies
  • CUDA
  • TensorRT
  • OpenClaw
  • Hermes
  • LangChain
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