LLM Engineer (Remote)
About The Position
Clear Fracture is seeking an LLM Engineer to help develop our next-generation agentic products revolutionizing data integration. This position will focus on creating and refining the dynamic control mechanisms governing agent and multi-agent systems which plan and implement data pipelines. This includes tasks like creating domain-specific knowledge and function graphs/ontologies and methods of querying them, developing methods to shape foundation model behavior (prompt engineering) and broader agent interactions, and interfacing with 3rd party data integration platforms. As part of our development team, you will coordinate with other disciplines to holistically design and create products. The successful candidate will stay abreast of innovations in multi-modal models, agentic systems, and data engineering, be motivated and able to personally apply relevant methods, have a “let’s figure it out” attitude, experience developing software, and thorough understanding of the construction, use, and limits of foundation models.
Requirements
- Minimum of a bachelor’s degree and 12 years of experience in a science or engineering field
- Minimum of 8 years software development experience with Java, Python, and SQL
- Due to the nature of the work, U.S. Citizenship and the ability to obtain a Secret Clearance are required.
- 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
- Strong problem-solving skills
- Strong written and oral communications 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
Nice To Haves
- 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 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
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
