LLM Engineer
Support the development, integration, and sustainment of AI-enabled workflows and knowledge management solutions for a federal client.
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.
Requirements
Required Qualifications (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.
Preferred Qualifications (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 (e.g., OpenSearch, Pinecone, Weaviate, Chroma, or FAISS), semantic search technologies, or embedding models.
- Experience with AI orchestration frameworks like LangChain, LangGraph, LlamaIndex, CrewAI, or Semantic Kernel.
- Experience with AWS services supporting AI, analytics, and data processing workloads.
- Experience with OCR, document processing, and multi-format document ingestion pipelines.
- Experience evaluating, benchmarking, and optimizing LLM performance, and working with graph databases or knowledge graphs.
- Experience supporting rapid prototyping efforts and transitioning prototypes into production-ready solutions.
- Experience supporting Department of Defense or federal clients.
Benefits
Benefits and Compensation
Booz Allen offers a comprehensive benefits package, including:
- Health, life, disability, financial, and retirement benefits.
- Paid leave, professional development, and tuition assistance.
- Work-life programs and dependent care support.
Full-time and part-time employees working at least 20 hours a week are eligible to participate in Booz Allen's benefit programs.
Additional Info
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. 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.
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.
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.
Skills & Keywords
Data Scientist, Lead
Lead data scientist to develop analytics, optimization, and AI/LLM capabilities within a complex data platform supporting operational decision-making.
Postdoctoral Scholar, Cognitive Neurorobotics Research Unit
Conduct cutting-edge research on robot learning, developmental robotics, and social cognition using recurrent neural network models and advanced computational frameworks.
Postdoctoral Scholar, Neurobiology Research Unit
The Neurobiology Research Unit is seeking a highly motivated postdoctoral researcher interested in basal ganglia mechanisms of learning and adaptive behavior, focusing on dopamine… See More
Postdoctoral Scholars, The Quantum and Ultrafast Optoelectronics Unit
Researchers will join the QUO Unit at OIST to study emergent quantum phenomena in low-dimensional materials using ultrafast and terahertz spectroscopy.