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Professional Llm Developer Jobs in Virginia (NOW HIRING)

Senior AI Developer

Mclean, VA · On-site

$140K - $180K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Possesses at least one professional certification relevant to the technical service provided.

Senior AI Developer

Mclean, VA · On-site

$140K - $180K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Possesses at least one professional certification relevant to the technical service provided.

Senior AI Developer

Mclean, VA · On-site

$140K - $180K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Possesses at least one professional certification relevant to the technical service provided.

C. Mack Solutions is seeking a GenAI developer to design and build applications powered by ... * 3-6 years' professional software development experience, including GenAI/LLM projects.

AI Developer

Mclean, VA · On-site +1

$145K - $185K/yr

... LLM-powered systems, RAG pipelines, agents, multimodal solutions, and custom machine learning ... AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA ...

AI Developer

Mclean, VA · On-site

$145K - $185K/yr

... LLM-powered systems, RAG pipelines, agents, multimodal solutions, and custom machine learning ... AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA ...

AI Developer

Mclean, VA · On-site

$145K - $185K/yr

... LLM-powered systems, RAG pipelines, agents, multimodal solutions, and custom machine learning ... AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA ...

AI Developer / Product SME

Mclean, VA · On-site

$145K - $185K/yr

... LLM-powered systems, RAG pipelines, agents, multimodal solutions, and custom machine learning ... AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA ...

AI Developer / Product SME

Mclean, VA · On-site

$145K - $185K/yr

... LLM-powered systems, RAG pipelines, agents, multimodal solutions, and custom machine learning ... AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA ...

AI Developer / Product SME

Mclean, VA · On-site

$145K - $185K/yr

... LLM-powered systems, RAG pipelines, agents, multimodal solutions, and custom machine learning ... AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA ...

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Showing results 1-20

Professional Llm Developer information

What are the key skills and qualifications needed to thrive as a Professional LLM Developer, and why are they important?

To thrive as a Professional LLM Developer, you need expertise in machine learning, natural language processing, and strong programming skills in languages like Python, often supported by a degree in computer science or related fields. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), experience with large language model architectures, and knowledge of cloud platforms are typically required, along with certifications like TensorFlow Developer or AWS Certified Machine Learning. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills ensure the development, fine-tuning, and deployment of robust LLM solutions that meet business and technical needs.

What are some common challenges faced by Professional LLM Developers when deploying large language models in production environments?

Professional LLM Developers often encounter challenges such as optimizing model performance to balance accuracy with computational efficiency, managing latency for real-time applications, and ensuring data privacy and security. Additionally, integrating LLMs with existing systems and maintaining model versioning can be complex. Collaboration with cross-functional teams, such as data engineers and product managers, is essential to address these challenges and ensure the successful deployment and ongoing maintenance of LLM-driven solutions.

What are Professional LLM Developers?

Professional LLM Developers are software engineers or specialists who design, build, and optimize applications and systems that leverage large language models (LLMs) like GPT-4, Claude, or similar AI models. Their work often involves integrating LLMs into products, fine-tuning models for specific tasks, ensuring safe and ethical AI use, and improving performance. They may also create tools and frameworks that facilitate the deployment and scaling of LLM-powered applications. Their expertise combines software development, machine learning, and natural language processing.

What is the difference between Professional Llm Developer vs Machine Learning Engineer?

AspectProfessional Llm DeveloperMachine Learning Engineer
CredentialsTypically requires advanced degrees in AI, NLP, or related fields; certifications in AI/MLOften holds degrees in computer science, data science, or engineering; certifications in ML frameworks
Work EnvironmentFocuses on developing and fine-tuning large language models, often in research or specialized AI teamsDesigns, builds, and deploys ML models across various applications, in industry or tech companies
Industry UsagePrimarily in AI research, NLP, and companies developing LLM-based productsUsed across tech, finance, healthcare, and other sectors for predictive modeling and automation

While both roles involve AI and machine learning, a Professional Llm Developer specializes in large language models and NLP, whereas a Machine Learning Engineer works on a broader range of ML applications and models across industries.

What are the most commonly searched types of Llm Developer jobs in Virginia? The most popular types of Llm Developer jobs in Virginia are:
What are popular job titles related to Professional Llm Developer jobs in Virginia? For Professional Llm Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Professional Llm Developer jobs in Virginia look for? The top searched job categories for Professional Llm Developer jobs in Virginia are:
What cities in Virginia are hiring for Professional Llm Developer jobs? Cities in Virginia with the most Professional Llm Developer job openings:

Senior AI Developer

Steampunk

Mclean, VA • On-site

$140K - $180K/yr

Full-time

Posted 11 days ago


Job description

We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires strong hands-on engineering capabilities, deep familiarity with modern AI architectures, and the ability to translate mission needs into robust, production-ready AI capabilities. The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will collaborate closely with product teams, LLMOps engineers, designers, and mission stakeholders. 


  • Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. 
  • Implement reusable AI components, libraries, and APIs that streamline application development and accelerate delivery across programs. 
  • Integrate AI models with enterprise systems, APIs, data platforms, vector databases, and cloud-native services to deliver scalable mission capabilities. 
  • Drive iterative experimentation, prototyping, and model improvement cycles in collaboration with Data Scientists and AI Evaluation Scientists. 
  • Design and implement advanced prompt strategies, context management layers, retrieval systems, and LLM orchestration logic. 
  • Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement. 
  • Translate user needs and mission workflows into intuitive, reliable AI-powered features through active partnership with designers and product teams. 
  • Implement secure-by-design and trustworthy AI practices, including safety guardrails, input sanitization, content filtering, and integration of evaluation metrics. 
  • Contribute to internal AI frameworks, code patterns, and shared accelerators that raise delivery quality across the AI & Data Exploitation Practice. 
  • Mentor junior developers, conduct code reviews, and support engineering excellence across multi-disciplinary AI delivery teams. 
  • Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks, evaluating their applicability to client missions. 
  • You will contribute to the growth of our AI & Data Exploitation Practice! 

  • Ability to hold a position of public trust with the U.S. government. 
  • Master's Degree (related program) and 7 years of relevant experience; OR
    • Bachelor's Degree (related program) and 10 years of relevant experience; OR
    • No degree and 16 years of relevant experience
  • Possesses at least one professional certification relevant to the technical service provided. Maintain a certification relevant to the product being deployed and/or maintained.
  • 5+ years of hands-on software engineering experience, with at least 2+ years focused on AI/ML, generative AI, or LLM-driven application development. 
  • Strong proficiency in Python and modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, or similar. 
  • Demonstrated ability to design and develop production-grade AI applications, including APIs, back-end services, orchestration logic, and front-end integrations (when needed). 
  • Experience implementing RAG architectures, embeddings, vector stores, and context retrieval patterns. 
  • Familiarity with multi-agent orchestration frameworks, prompt engineering strategies, and advanced LLM interaction design. 
  • Strong understanding of cloud platforms (AWS, Azure, GCP), including compute, serverless services, and security fundamentals for AI workloads. 
  • Working knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI-based systems. 
  • Experience with structured and unstructured data, document processing, and application integration with existing enterprise systems. 
  • Understanding of responsible AI principles including safety, fairness, privacy, and model risk mitigation. 
  • Strong analytical and communication skills with the ability to collaborate across engineering, design, and mission domains. 
  • Proven experience mentoring teammates and raising the technical bar of development teams. 

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $180,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.