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Gen AI ML Engineer

Charlotte, NC · On-site

... in Python, LLM, RAG, Vector Databases, LangChain, LangGraph, Google ADK, Agentic AI • Hands on experience delivering 3-4 end to end Production projects • Good communication skills and able to ...

Nastech Global

GEN AI Architect

Charlotte, NC · On-site

Should be specialized in building & deploying Gen AI applications on Azure commercial/gov cloud proficient at Python, LLM prompting, Azure OpenAI service, and other Gen AI related Azure services such ...

HAYS

Sr Backend Engineer - AI

Tampa, FL · On-site

Backend Engineer Python LLM Senior Backend Engineer - AI & Azure (Python / LLM) Overview We are seeking a Senior Backend Engineer to design, build, and scale AI?powered backend services using large ...

Staffingine LLC

AI/ML Tech lead

Nashville, TN · On-site

Expert in Python * LLM Concepts * RAG Architecture * MS OpenAI * GPT40 41 * O3 Mini Mandatory Skills : Prompt Engineering & RAG,Retrieval Augmented Generation,Fine Tuning Large Language Models,Prompt ...

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How much do python llm jobs pay per hour?

As of Jun 1, 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 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.
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Python Llm jobs near you

Gen AI Engineer [Python, LLM]

Purple Drive Technologies

Mclean, VA • On-site

Full-time

Posted 13 days ago

Job description

Overview:
Job Title: Gen AI Engineer (LLM, LangChain, AI Agents)
Experience: 8-10 Years
Job Summary
We are seeking a Gen AI Engineer with strong expertise in Python, Large Language Models (LLMs), and AI agent development using LangChain.
The ideal candidate will be responsible for designing, building, and deploying AI-powered solutions, including intelligent agents, custom tools, and scalable architectures. This role requires a blend of hands-on coding, innovation, and architectural thinking to deliver cutting-edge Generative AI applications.
Key Responsibilities
AI & GenAI Development
  • Design and develop AI-powered applications using Large Language Models (LLMs)
  • Build and deploy intelligent AI agents using LangChain framework
  • Develop custom tools and integrations for AI agents (MCPs / tool-based extensions)
Architecture & Solution Design
  • Design scalable Gen AI architectures and workflows
  • Implement end-to-end solutions including:
    • Prompt engineering
    • Context management
    • Retrieval-Augmented Generation (RAG)
  • Ensure performance, scalability, and reliability of AI systems
Agent Development & Orchestration
  • Program and orchestrate multi-agent systems
  • Build custom connectors/tools for enhanced agent capabilities
  • Optimize agent performance and response quality
Innovation & Research
  • Explore and implement new advancements in Generative AI and LLM ecosystems
  • Continuously improve models, prompts, and workflows
  • Prototype innovative AI use cases and solutions
Collaboration & Delivery
  • Collaborate with cross-functional teams (Product, Data, Engineering)
  • Translate business requirements into AI-driven solutions
  • Participate in Agile development and code reviews
Required Skills & Experience
  • 8-10 years of experience in software engineering / AI development
  • Strong expertise in:
    • Python (mandatory)
    • Generative AI / LLMs
  • Hands-on experience with:
    • LangChain framework
    • AI Agent development
    • Custom tool / MCP development for agents
  • Strong understanding of:
    • Prompt engineering
    • RAG (Retrieval-Augmented Generation)
    • AI workflows and orchestration
Technical Skills
  • Programming: Python
  • Frameworks: LangChain (mandatory)
  • AI: LLMs (OpenAI, open-source models, etc.)
  • Concepts: AI Agents, RAG, Prompt Engineering
  • APIs: REST / JSON integrations

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