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Python Llm Jobs in Missouri (NOW HIRING)

Jobgether

$6 - $65/hr

Support automation initiatives using tools such as Python or SQL to improve testing efficiency ... Strong understanding of LLM evaluation concepts, including hallucination detection, factual ...

Pwc

GenAI Python Systems Engineer-Manager

Saint Louis, MO

$99K - $232K/yr

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...

Pwc

GenAI Python Systems Engineer-Manager

Kansas City, MO

$99K - $232K/yr

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...

Brightli

Principal AI Engineer

Springfield, MO

Keywords: Principal AI Engineer, LLM, Snowflake, Cortex AI, Natural Language to SQL, Semantic Data Modeling, Data Engineering, SQL, Python Position Perks & Benefits: Paid time off: full-time ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

Keywords: Principal AI Engineer, LLM, Snowflake, Cortex AI, Natural Language to SQL, Semantic Data Modeling, Data Engineering, SQL, Python Position Perks & Benefits: Paid time off: full-time ...

MasterCard

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

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

Mastercard, Inc.

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 ...

InterSources Inc

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 ...

Kobie Marketing

AI Engineer

Saint Louis, MO · Remote

... 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 ...

Accenture

AI & HPC Infrastructure Engineer

Saint Louis, MO · On-site

$97K - $127K/yr

... Python and modern API patterns such as REST, OpenAPI, JSON/YAML schemas, webhooks, and event-driven integrations. * Experience designing and implementing agentic AI infrastructure, including LLM ...

Merck Group

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 ...

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Python Llm information

What is a Python LLM job?

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 job categories do people searching Python Llm jobs in Missouri look for? The top searched job categories for Python Llm jobs in Missouri are:
What cities in Missouri are hiring for Python Llm jobs? Cities in Missouri with the most Python Llm job openings:
Python Llm jobs near you
Infographic showing various Python Llm job openings in Missouri as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.

AI QA Trainer - LLM Evaluation

Jobgether

Remote

$6 - $65/hr

Contractor

Medical, PTO

Posted 5 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI QA Trainer - LLM Evaluation based in Netherlands.

This role offers the opportunity to contribute directly to the evolution of advanced AI systems by improving their reliability, accuracy, and safety.
You will work on evaluating large language models through structured testing, quality analysis, and adversarial scenarios.
The position combines AI quality assurance, data evaluation, and technical problem-solving to strengthen model performance.
You will design evaluation frameworks, identify failure patterns, and help improve AI reasoning capabilities across diverse use cases.
Working with cutting-edge AI technologies, you will influence how future systems handle information, reasoning, and real-world tasks.
This is a remote contract opportunity for professionals passionate about AI quality, testing, and responsible model development.

Accountabilities:

The role focuses on ensuring the quality, reliability, and safety of advanced AI models through comprehensive evaluation and testing processes. You will collaborate on identifying weaknesses, improving evaluation methodologies, and creating actionable insights that enhance model performance.

  • Evaluate large language models across areas such as factual accuracy, reasoning quality, hallucination detection, safety, and reliability.
  • Design and execute test plans, regression suites, and evaluation frameworks to measure model performance.
  • Identify and document model failures, including prompt vulnerabilities, incorrect outputs, bias issues, and reasoning inconsistencies.
  • Develop clear evaluation rubrics, pass/fail criteria, and quality benchmarks for AI system assessment.
  • Perform adversarial testing, red-teaming exercises, and robustness evaluations to identify potential risks.
  • Verify grounding, retrieval-augmented generation outputs, tool usage accuracy, and workflow reliability.
  • Analyze model behavior and provide recommendations for improving prompts, guardrails, and evaluation strategies.
  • Support automation initiatives using tools such as Python or SQL to improve testing efficiency.
  • Maintain detailed documentation of findings, root-cause analysis, and reproducible issue reports.
  • Collaborate with technical teams to improve AI evaluation metrics, dashboards, and quality monitoring processes.
Requirements:

The ideal candidate brings strong experience in AI quality assurance, machine learning evaluation, software testing, or related technical disciplines. You should be comfortable analyzing complex AI behaviors and communicating technical findings clearly.

  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Computational Linguistics, Statistics, or a related technical field preferred.
  • Experience testing, evaluating, or validating AI/ML systems, particularly large language models.
  • Strong understanding of LLM evaluation concepts, including hallucination detection, factual consistency, safety testing, and reliability analysis.
  • Experience designing QA frameworks, evaluation criteria, regression testing processes, or quality benchmarks.
  • Familiarity with prompt engineering, system prompts, retrieval-augmented generation (RAG), and AI safety practices.
  • Experience with adversarial testing, red teaming, bias assessment, or compliance-oriented AI reviews.
  • Knowledge of test automation tools and programming languages such as Python or SQL.
  • Familiarity with LLM evaluation tools, experiment tracking platforms, or AI testing frameworks.
  • Strong analytical skills with the ability to identify patterns, investigate failures, and propose improvements.
  • Excellent written and verbal communication skills, with the ability to clearly explain technical reasoning and findings.
Benefits:
  • Competitive contractor compensation ranging from $6 to $65 per hour, depending on experience, expertise, and geographic location.
  • Fully remote work environment with flexibility to contribute from anywhere.
  • Opportunity to work on advanced AI systems and influence the development of future AI capabilities.
  • Hands-on exposure to cutting-edge language models, evaluation methodologies, and AI safety practices.
  • Ability to apply your technical expertise to impactful real-world AI improvement projects.
  • Flexible contract-based opportunity designed for experienced AI and QA professionals.
  • Contractors provide their own secure computer and high-speed internet connection.
  • Company-sponsored benefits such as health insurance and paid time off are not included for this contract role.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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