1

Python Llm Jobs in California, MO (NOW HIRING)

We're hiring a senior engineer with deep technical range across the AI systems stack: someone who reasons about the production behavior of LLM-based systems, distributed infrastructure, and data ...

AI Solutions Architect

California, MO · On-site

$200 - $250/hr

Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and ... NET/Python) development, API design (REST/GraphQL), and microservices architecture. * Cloud ...

Strong software engineering fundamentals in TypeScript (Node.js), Go, or Python. Experience interfacing with LLM APIs (OpenAI, Anthropic, Google Vertex AI, AWS Bedrock), vector databases, and prompt ...

Proficiency in Python and/or C/C++, with advanced debugging, profiling, and performance tuning ... Strong understanding of AI inference systems, LLM serving architectures, and KV cache optimization.

Senior AI Engineer

California, MO · On-site

$200 - $250/hr

Agent architectures, LLM systems, and RAG pipelines * Retrieval, grounding, and orchestration techniques * Python (strong proficiency) and TypeScript (working knowledge) * 4+ years of infrastructure ...

Rethink "classical" to become a physical AI equivalent of an LLM coding harness. * Synthetic data ... Strong C++ and Python skills and experience writing GPU code in CUDA, NVIDIA Warp, or an equivalent ...

Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection ... Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI ...

Showing results 21-40

Python Llm information

See California, MO salary details

$11

$52

$77

How much do python llm jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for python llm in California, MO is $52.46, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $59.62 per hour, depending on experience, location, and employer.

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 popular job titles related to Python Llm jobs in California, MO?

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

What cities near California, MO are hiring for Python Llm jobs?

Cities near California, MO with the most Python Llm job openings:

Infographic showing various Python Llm job openings in California, MO as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $109,123 per year, or $52.5 per hour.

Forward Deployed Engineer

Cognida.ai

California, MO • On-site

$150 - $200/hr

Other

Posted 8 days ago


Job description

Our Purpose is to boost your competitive advantage using AI and Analytics.

We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies.

We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges.

We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value.

We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’.

Experience : 6-8 years

Type: Full-time

About the role

Cognida builds production AI systems for enterprise clients: agentic orchestration, large-scale knowledge and data infrastructure, model serving and inference, evaluation systems, and the security and access-control layers that let any of it touch real data.

We're hiring a senior engineer with deep technical range across the AI systems stack: someone who reasons about the production behavior of LLM-based systems, distributed infrastructure, and data pipelines, not just how to call a model API.

What you'll do

  • Agentic and orchestration systems: multi-agent workflows, tool-use and agent-facing protocols (MCP or equivalent), state and memory management, tracing, replay, sandboxing.
  • Large-scale data and knowledge infrastructure: entity/relationship graphs, structured extraction from unstructured data using LLMs in bounded, evaluable ways, incremental pipelines that avoid full reprocessing on every change.
  • Model serving and inference: deployment, latency and cost optimization, reliability engineering for systems calling LLMs or client-hosted models at scale.
  • Evaluation and cost infrastructure: gold sets, regression detection, per-operation cost meters.
  • Access control and trust: permission and sensitivity enforcement built into the data layer, a single mutation/write gate every pipeline passes through.
  • Core backend and data engineering: schema design, query planning, distributed systems fundamentals.

What we're looking for

  • 5+ years building production systems, with genuine depth in AI/ML systems: how LLM-based systems, distributed data infrastructure, and agentic pipelines fail in production (drift, cost blowup, latency cliffs, brittle orchestration), and how to design around it.
  • Strong distributed systems and data engineering fundamentals: SQL/Postgres at a level where you reason about query plans and schema design under production constraints; comfort running these systems in production (monitoring, incident response, cost control).
  • Direct production experience with at least two or three of: agentic/orchestration systems, knowledge/data infrastructure at scale, model serving and inference, evaluation systems, access-control and authorization design.
  • Security-conscious by default.
  • Comfort taking an architecture with open decisions and closing the gaps yourself.
#J-18808-Ljbffr