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Python Llm Jobs in Norfolk, VA (NOW HIRING)

CDIT LLC

AI Engineer

Norfolk, VA · On-site

... LLM-based RAG pipelines) against Navy maintenance, supply, and equipment-history datasets. • ... using Python and modern ML frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face). • ...

Commence

Sr. AI/ML Engineer

Virginia Beach, VA · On-site

$175K - $200K/yr

Develop and optimize AI/LLM-driven workflows (e.g., document extraction, classification ... Strong proficiency in programming languages such as Python and SQL, with experience building ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Design and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

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Python Llm information

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$56

$83

How much do python llm jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for python llm in Norfolk, VA is $56.72, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $64.42 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 the most commonly searched types of Python Llm jobs in Norfolk, VA?

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

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Python Llm jobs near you
Infographic showing various Python Llm job openings in Norfolk, VA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $117,975 per year, or $56.7 per hour.

Senior Backend Engineer (Agentic Data Platform)

Portsmouth, VA • On-site

Namely
Software Development • 201 - 500 employees
Learn more about Namelyexternal

Other

Posted 27 days ago

Key responsibilities

  • Build and improve distributed backend systems for the genomics platform.

  • Develop and optimize data processing pipelines over large genomic and health datasets using Apache Spark and DuckDB.

  • Design data structures, storage, and indexing strategies across PostgreSQL, Qdrant, and Redis to ensure performance at scale.

Job description

The opportunity

As a Senior Backend Engineer, you'll build and improve the distributed backend systems behind our genomics platform. At its core, this platform is a high-throughput data processing and retrieval system with an AI-powered natural language interface - you'll work with our AI Backend Architect on the services and pipelines that make genetics-based guidance fast, accurate, and reliable. When you do this well, people can have meaningful conversations with their DNA and receive trustworthy guidance that evolves alongside advances in science and AI.

This is a backend and data engineering role. It is not an LLM-integration role, and it is not about adding AI tooling to a product.

What you'll own
  • Develop and maintain high-performance and fault-tolerant distributed backend services.
  • Build and optimize data processing pipelines over large genomic and health datasets using Apache Spark and DuckDB.
  • Design data structures, storage and indexing strategies across PostgreSQL, Qdrant, and Redis for performance at scale.
  • Own async event processing and workflow orchestration using AWS SQS, RabbitMQ, and BullMQ.
  • Drive latency, throughput, and reliability through parallel execution, caching, and efficient data access.
  • Build guardrail and quality assurance layers that keep AI responses anchored in real genomic and scientific evidence.
  • Partner with bioinformatics experts to ensure outputs match the science, and with product/design specialists on user-facing behavior.
Who you are
  • 5+ years building and operating production backend systems at scale.
  • Expert-level in TypeScript, comfortable owning production services end to end.
  • Strong distributed-systems fundamentals - you understand how they're designed and why they fail.
  • Hands-on with large-scale data processing frameworks (Apache Spark or equivalent) and very large datasets.
  • Deeply familiar with both OLTP and OLAP data systems (PostgreSQL, DuckDB)
  • Solid with distributed event-driven systems.
  • Able to step into an unfamiliar domain like genomics, learn the mechanics fast, and go deep.
  • Craft-driven: you build systems properly with attention to detail and high bar for quality rather than assembling pre-made pieces.
  • This is a fully remote role open to candidates in time zones from UTC−5 to UTC+3.
Bonus to have
  • Rust, and functional programming experience (Scala or similar).
  • Python for data processing.
  • Experience training or fine-tuning your own AI models - not just calling APIs.
  • Experience with multi-agent AI systems and orchestration (planner / router / evaluator patterns).
  • Production experience with LLM APIs (Anthropic, OpenAI, Bedrock, Google AI)
  • Production experience with vector databases and RAG pipelines.
  • LLM observability tooling (Langfuse, LangSmith).
  • Workflow engines (Temporal).
  • Familiarity with genomics, bioinformatics, or health data systems.
  • High-growth startup experience.
Why this role matters

AI is transforming how people access information. Genomics is transforming how people understand themselves.

This role sits at the convergence of both.

You’ll help build the AI systems that enable people to interact with their DNA and receive personalized guidance throughout their lives. The systems you build will help millions of people better understand their health, identify risks earlier, make more informed decisions, and benefit from advances in science that would otherwise remain inaccessible.

This is an opportunity to help create a category-defining, generational product and shape how humanity interacts with its DNA for decades to come.

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