ZipRecruiter

Log In

1

Llm Developer Jobs in Springfield, VA (NOW HIRING)

Minfy

Senior AI / LLM Engineer

Mclean, VA · On-site

$107K - $147K/yr

Senior AI / LLM Engineer Location: McLean, VA Eligibility: Must be a U.S. Person (required for access to an ITAR / export-controlled environment) About the Role: We are hiring a Senior AI / LLM ...

Minfy

AI / LLM Engineer

Mclean, VA · On-site

You will lead a rigorous, POC-first program: engineering user-level features from behavioral data, integrating LLM-generated user profiles into a deep-learning ranking model, and driving the work ...

CogniSoft Technologies

Python Developer with AI/LLM

Mclean, VA · On-site

$51.50 - $71/hr

Python Developer with AI/LLM Location: Mc Lean, VA Developer-Full Stack Specialist Required Experience & Education • 5+ years of professional software development experience. • 1+ years of hands ...

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

next page

Showing results 1-20

All JobsLlm Developer JobsLlm Developer Jobs in Springfield, VA

Llm Developer information

See Springfield, VA salary details

$26

$52

$83

How much do llm developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for llm developer in Springfield, VA is $52.40, according to ZipRecruiter salary data. Most workers in this role earn between $41.20 and $63.51 per hour, depending on experience, location, and employer.

What is the salary of LLM developer?

The salary of an LLM developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in machine learning, natural language processing, and relevant tools like Python and TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers or machine learning executives, often involving advanced skills in deep learning, large language models, and extensive experience. These positions may include leadership responsibilities, require specialized certifications, and offer compensation packages that include salary, bonuses, and stock options. Such roles are usually found in top tech companies or AI-focused organizations and demand a strong track record of innovation and technical expertise.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Llm Developer position, and why are they important?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What engineers make $500,000?

Senior machine learning engineers, including those developing large language models (LLMs), can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work at top tech companies. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

What are the typical daily tasks and responsibilities of an LLM Developer?

As an LLM Developer, your daily responsibilities often include designing, fine-tuning, and evaluating large language models to meet specific application needs. You may work on tasks such as data preprocessing, model training, performance benchmarking, and error analysis, frequently collaborating with data scientists, research engineers, and product managers. Keeping up to date with the latest advancements in NLP and integrating new techniques into production models is also a key part of the role. These tasks are usually performed in a team-oriented environment where clear communication and iterative experimentation are highly valued.

What are LLM developers?

LLM developers are software engineers who design, build, and optimize large language models used in artificial intelligence applications. They typically work with machine learning frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch to develop models for tasks like natural language processing and understanding.
What are popular job titles related to Llm Developer jobs in Springfield, VA? For Llm Developer jobs in Springfield, VA, the most frequently searched job titles are:
What cities near Springfield, VA are hiring for Llm Developer jobs? Cities near Springfield, VA with the most Llm Developer job openings:
Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Springfield, VA as of July 2026, with employment types broken down into 82% Full Time, 7% Part Time, 1% Temporary, and 10% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $108,990 per year, or $52.4 per hour.

Senior AI / LLM Engineer

Minfy

Mclean, VA • On-site

$107K - $147K/yr

Other

Posted 11 days ago

Job description

Role: Senior AI / LLM Engineer

Location: McLean, VA

Eligibility: Must be a U.S. Person (required for access to an ITAR / export-controlled environment)


About the Role:


We are hiring a Senior AI / LLM Engineer to design and build LLM-powered features and applications across a range of use cases. You will work hands-on across the modern AI engineering stack — retrieval, integration, evaluation, and production hardening — and take ownership of significant pieces of the system from design through deployment. Retrieval augmented generation over large, real-world enterprise data is a prominent part of the work, alongside platform integration and LLM-driven analysis. You will set technical direction within your area, make sound trade-offs under ambiguity, and help raise the bar for engineers around you.


What You’ll Do:


Own the design and delivery of LLM-powered features end-to-end — from problem framing and architecture through production deployment and iteration. • Build and tune retrieval-augmented generation (RAG) pipelines over large, heterogeneous enterprise data — ingestion, chunking, embeddings, indexing, and entity/relationship modeling — with a focus on retrieval accuracy and closing coverage gaps. • Design and build data ingestion and indexing pipelines that reliably capture content, map identities across systems, and support incremental/resumable sync at scale. • Integrate LLMs (via managed platforms such as Amazon Bedrock) for question answering, analysis, and other tasks, preserving sessions, sources, and citations. • Integrate with enterprise platforms and collaboration tools through their APIs, including SSO/OAuth flows and event-driven bot/app patterns. • Design permission-bounded access and correct attribution in multi-user contexts, so the system never surfaces data a user could not already access. • Establish evaluation practices for retrieval quality and answer correctness, and use them to drive iteration and catch regressions. • Add observability, logging, and audit trails, and lead debugging of quality and performance issues in production. • Guide and mentor other engineers through design and code reviews, and contribute to shared standards. Required


Qualifications:


• 6–8 years of software engineering experience, with at least 2 years building with LLMs or applied ML in production. • Strong proficiency in Python (or comparable) and strong engineering fundamentals — testing, version control, clean and maintainable code. • Deep hands-on experience with RAG systems: embeddings, vector databases, chunking/indexing, and a strong track record diagnosing and improving retrieval quality. • Experience designing and building data ingestion/ETL pipelines over large, messy, real world datasets. • Strong experience integrating third-party APIs into backend services, including authentication flows (OAuth/SSO) and webhook/event-driven patterns. • Hands-on experience with LLM APIs (e.g., Anthropic, OpenAI, or similar) and orchestration frameworks. • Experience building and relying on evaluations for model and retrieval outputs. • Experience with knowledge graphs or entity-relationship modeling for retrieval. • Experience building multi-user or multi-tenant systems with scoped permissions and audit requirements. • Familiarity with observability and tracing for LLM or data pipelines. • A rigorous approach to data access, permissions, and handling sensitive information. • Experience taking systems to production on a major cloud platform (AWS preferred), and a track record of owning features independently. Preferred Qualifications • Experience with Amazon Bedrock or other managed LLM platforms. • Experience integrating with enterprise collaboration platforms (chat, wikis, ticketing) via their APIs. • MLOps exposure: Docker, CI/CD, production service deployment. • Bachelor’s or advanced degree in Computer Science, Engineering, or a related field — or equivalent practical experience.

Apply