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Python Llm Jobs (NOW HIRING)

Senior Full Stack AI Developer (React/Next.js + Python + LLM) Location: Santa Clara, CA (Onsite) Duration: 9+ Months Employment Type: W2 or Independent Contractor (No C2C through third-party vendors ...

Python Development * LangChain * LangGraph * Agent-Based AI Systems * Autonomous AI Agents * ReAct (Reasoning + Acting) * LLM Reasoning, Planning & Task Execution * Model Context Protocol (MCP)

AI Engineer

San Francisco, CA · On-site

$200K - $250K/yr

Python, LLM APIs, FastAPI As the AI Engineer, you'll be responsible for ensuring LiteLLM unifies the format for calling LLM APIs in the broader OpenAI + Anthropic spec. This involves writing ...

L.C. is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based ... The role requires strong Python engineering expertise and hands-on experience with modern agent ...

Hands-on experience with Python for production-grade application development * Experience with LLM orchestration frameworks such as LangGraph, LangChain, GitLab Duo, Amazon Bedrock, Cortex, or ...

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

Python & Backend Development * LLM / Generative AI Application Development * Agent-Based AI Systems * RAG / Vector DB / Embeddings * API Development & System Integration * AWS Cloud (Cloud-Native ...

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

C. is seeking a GenAI / AI Engineer focused on building LLM-based applications, RAG pipelines, and AI APIs using Python and FastAPI. The role also involves ML deployment using Docker, Kubernetes ...

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

Responsibilities : • building LLM-based applications • building RAG pipelines • building AI APIs using Python and FastAPI • ML deployment using Docker • ML deployment using Kubernetes • ...

Proficiency in Python, LLM integration, and data engineering * Experience with static analyzers, RAG framework, and relational and vector databases * Familiarization with Agile, Git, Jira, and ...

Python Developer

Fremont, CA · On-site

$55.25 - $76/hr

InterSources Inc is seeking a Python Developer to design, develop, and optimize Python applications with a focus on LLM integration and deployment. The role involves building deep learning models ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python llm in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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.

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Infographic showing various Python Llm job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 10 days ago


Job description

Job Description

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

As an LLM Application Engineer, you will build the intelligence layer that powers the AI experiences.  You will work at the intersection of Large Language Models (LLMs), software engineering, and product designing agent workflows, improving model behavior, and turning Artificial Intelligence (AI) capabilities into reliable user experiences.  You will own problems end-to-end, from understanding user needs, designing Agentic workflows, integrating models and tools, building evaluation systems and continuously improving AI behavior in production.  This position is 100% Remote.

LLM Application Engineer Responsibilities:

- Build and ship LLM-powered applications and AI agent workflows.

- Design systems for reasoning, planning, memory, tool use and multi-step execution.

- Build reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions.

- Integrate Large Language Models (LLMs) with APIs, databases, search, internal services, and external tools.

- Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behavior.

- Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions.

- Debug AI systems across the entire stack from model behavior and prompts to orchestration, backend services, and product UX.

- Optimize AI systems for quality, latency, and cost.

- Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions.

- Establish production practices for observability, tracing, experimentation, evaluation, and continuous improvement.

LLM Application Engineer Outcomes:

- Artificial Intelligence (AI) features reach production quickly and deliver measurable user impact.

- LLM-powered workflows are reliable, scalable, observable, and maintainable.

- Artificial Intelligence (AI) quality improves through systematic evaluation, experimentation, and iteration.

- Artificial Intelligence (AI) workflows become increasingly predictable, efficient, and cost-effective.

- Complex AI capabilities are translated into simple, intuitive user experiences.

Qualifications

LLM Application Engineer Qualifications:

- Artificial Intelligence (AI) experience required.

- Strong software engineering fundamentals with experience building AI-powered applications.

- Hands-on experience with Large Language Models (LLMs), generative AI, or agent-based systems.

- Experience designing prompts, workflows, evaluations, or AI behavior.

- Ability to write clean, production-quality code.

- Comfortable working across abstraction layers from model to system to product.

- Strong problem-solving skills in ambiguous, fast-moving environments.

- Bias toward shipping, iteration, and continuous improvement.

- Tech Stack:  Python, LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models, Agent frameworks and orchestration systems, Vector databases and retrieval systems, Backend services, APIs, and distributed systems, and PyTorch / JAX.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Agent Frameworks, AI, Artificial Intelligence, AI Agent Workflows, APIs, Application Engineer, Backend, Databases, Distributed Systems, JAX, LLM, Large Language Model, LLM APIs, OpenAI-Compatible APIs, Orchestration Systems, Python, PyTorch, UX, User Experience, Vector Databases, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

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