LLM Engineer

Job description

LLM Engineer The Opportunity: Support the development, integration, and sustainment of AI-enabled workflows and knowledge management solutions supporting a federal client. Collaborate with technical and functional stakeholders to develop document ingestion pipelines, retrieval workflows, and LLM-enabled capabilities that improve information discovery and decision support. Design and implement processes for metadata extraction, semantic chunking, relationship extraction, and structured knowledge generation across multiple data sources and document types. Develop, test, and refine prompt engineering, retrieval, and orchestration workflows to support rapid prototyping efforts. Integrate AI-enabled solutions with cloud-based services, databases, and enterprise applications. Support the evaluation and implementation of emerging AI technologies and contribute to the expansion of new use cases across the platform. You Have 2+ years of experience developing software applications using Python Experience developing AI-enabled applications using Large Language Models (LLMs), retrieval-augmented generation (RAG), or prompt engineering Experience working within Agile software development environments. Ability to obtain a Secret clearance Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Computer Engineering, or Information Systems Nice If You Have Experience developing data ingestion, transformation, or processing pipelines, and working with structured and unstructured data sources Experience implementing semantic chunking strategies for large document collections Experience extracting metadata, entities, relationships, or knowledge graphs from unstructured documents Experience using vector databases, such as OpenSearch, Pinecone, Weaviate, Chroma, or FAISS, semantic search technologies, or embedding models Experience with LangChain, LangGraph, LlamaIndex, CrewAI, Semantic Kernel, or similar AI orchestration frameworks Experience with AWS services supporting AI, analytics, and data processing workloads, and developing AI-enabled knowledge management, search, automation, or decision-support solutions Experience with OCR, document processing, and multi-format document ingestion pipelines Experience evaluating, benchmarking, and optimizing LLM performance, and working with graph databases, knowledge graphs, ontology-driven systems, or relationship extraction frameworks Experience supporting rapid prototyping efforts and transitioning prototypes into production-ready solutions Experience supporting Department of Defense or federal clients Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.