Remote Agentic AI Engineer — Build Autonomous LLM Apps

Bah; Virginia; Presencial; USD 78.000 - 176.000; Jornada completa

Descripción de la vacante

Booz Allen is seeking an experienced Agentic AI Engineer to design, build, and deploy production-grade agentic AI systems that demonstrate the practical value of generative AI and LLMs. You will architect modular AI patterns, integrate cloud/local/hybrid model providers, and optimize for latency, cost, observability, and safety.

You will work with data engineers, data scientists, solutions architects, and product owners to deliver world-class AI applications, including prompting, RAG,

Formación

• 1+ years designing AI-driven systems with autonomous agents or LLM-based workflows.
• 1+ years Python applied to AI/ML solution development.
• Experience integrating LLMs, GPT-class models, or multimodal models.
• Experience with RAG architectures, evaluation pipelines, and asynchronous programming.
• Experience in cross-functional delivery with data scientists, ML engineers, and product teams.
• Secret clearance
• Bachelor's degree

Responsabilidades

• Design, develop, and deliver production-grade agentic AI systems.
• Architect modular AI application patterns and integrate multiple model providers.
• Prototype and iterate using AI-assisted development tools with evaluation-driven approaches.
• Define direction of agentic systems, selecting prompting strategies and architectures.

Conocimientos

Python

LLM integration

RAG architectures

Asynchronous/event-driven programming

Cross-functional collaboration

Educación

Bachelor's degree

Herramientas

LangChain

AutoGen

CrewAI

LangGraph

Descripción del empleo

Booz Allen is seeking an experienced Agentic AI Engineer to design, build, and deploy production-grade agentic AI systems that demonstrate the practical value of generative AI and LLMs. You will architect modular AI patterns, integrate cloud/local/hybrid model providers, and optimize for latency, cost, observability, and safety.

You will work with data engineers, data scientists, solutions architects, and product owners to deliver world-class AI applications, including prompting, RAG,