Large Language Model (LLM) Engineer

Remote, Work from Home

US Citizen, with the ability to obtain and maintain up to Top-Secret Clearance (TS/SCI)

@Orchard LLC is supporting a leader in AI/ML Software Development of products for the Federal Government operating at the unique intersection of advanced AI software development and vital national security missions. We are looking for an LLM Engineer to focus on multi-agent data integration products, ensuring they have minimal friction and maximum impact on government clients, including National Security and Intelligence Community missions. This is an opportunity to be part of inventing a whole new class of software products.

Key Responsibilities

Suggest ways requirements can be met via search, machine learning, and other data science methods
Decompose AI problems into solvable pieces and translate those solutions into code
Prepare design specifications, conceptual diagrams, process flows, data models, prototypes, user interface designs, use cases, screen layouts, test plans, deployment plans, and system documentation
Train and validate models and knowledge graphs, often in big data, distributed environments
Perform model introspection to understand and explain model behaviors
Integrate models into operational systems, including performing prompt engineering and domain-specific refinement, coordinating multiple agents, and optimizing performance
Efficiently develop software capabilities using industry standards and repeatable processes, helping projects stay within budget and on schedule
Review and test software for functionality and adherence to the design requirements, and document test results
Determine the efficacy of your projects through repeatable, quantifiable means like industry-standard benchmarking
Educate others on the capabilities of your projects via demonstrations, tutorials, or other means
Work well within a team environment and communicate effectively with both technical and non-technical stakeholders
Stay up to date with developments in the field and continually learn how to apply the latest relevant advancements
Lead trade studies, analyses of alternatives, and assessments of existing systems

Required Qualifications

Minimum of a bachelor’s degree and 12 years of experience in a science or engineering field
Minimum of 8 years of software development experience with Java, Python, and SQL
Due to the nature of this position and the information that employees will be required to access, U.S. Citizenship is required.
Must have deep understanding of how transformer models and latent spaces work, and techniques for manipulating both.
Significant, demonstrable experience implementing retrieval augmented generation (RAG) and using various prompt engineering techniques, especially reflection, prompt chaining, reason and act (ReAct), and chain of thought
Experience performing data engineering tasks using a platform like Oracle Cloud Infrastructure (OCI) Data Integration or Data Flows, Amazon Web Services (AWS) Glue, Informatica, Talend, or similar.
Ability to describe the data assumptions and processing steps of common machine learning methods, and which methods are appropriate for a variety of use cases
Deep understanding of transformer architectures and foundation model training and operations
Expertise with ML libraries, like Scikit-learn, TensorFlow, PyTorch, LangGraph, and LlamaIndex
Deep understanding of embedding techniques and prompting best practices
Strong problem-solving skills
Strong written and oral communication skills
Able to work independently and self-identify tasks
Ability to review and maintain existing code and applications
Ability to research and evaluate new concepts and processes to improve performance

Additional capabilities to make you stand out

Data Scientist background
Ability to obtain and maintain a TS/SCI clearance
Experience with Spark, Elasticsearch, Containers, and Kubernetes; or related vector/graph databases and distributed processing platforms
Familiarity with deploying data and processing in commercial clouds like Oracle Cloud Infrastructure (OCI), Amazon Web Services (AWS), Google Cloud, and Microsoft Azure
Familiarity with visualization tools like Qlik, Tableau, Plotly, Kibana, and Matplotlib

Why Work for our Client?

Join a dynamic, rapidly growing team at the forefront of AI and data integration.
Work on innovative multi-agent solutions for critical government missions.
Make a significant impact on how government agencies leverage data for decision-making and operational efficiency.
Thrive in a collaborative, supportive work environment focused on innovation and customer success.

Ready to Build What's Next?

Compensation for the LLM Engineer is based on experience and qualifications. It is expected to be in the range between $150,000 and $200,000.

Established in 2010, @Orchard LLC has an exceptional reputation, providing staffing solutions to time-sensitive, talent scarcity issues to deliver better talent management ROI. Our specialty lies in the critical area of program talent acquisition and resource management, not in one narrow skillset, but across many areas of technical and functional delivery. To learn more about our other exciting opportunities, visit our Jobs Page at www.atOrchard.com.

Large Language Model (LLM) Engineer

Job Type