AI Engineer (TLM - 014)

Software Engineering Annapolis Junction, Maryland


Description

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.  

Active TS/SCI w/ Polygraph required.

Required Technical Skills

     Strong Python development skills, with experience writing production-quality, maintainable code

     Hands-on experience building applications on top of existing LLMs (e.g., via APIs for commercial or self-hosted models)

     Experience designing multi-agent or multi-step AI workflows, including prompt chaining, tool use, and agent orchestration (e.g., LangChain, LlamaIndex, or custom frameworks)

     Strong prompt engineering skills and experience evaluating/validating LLM outputs

     Experience integrating AI capabilities into existing software architectures (RESTful APIs, microservices)

     Experience with the Amazon Web Services (AWS) cloud computing platform

 

Desired Technical Skills

     Experience with retrieval-augmented generation (RAG) pipelines and vector databases

     Familiarity with LLM observability and evaluation tooling

     Experience conducting exploratory data analysis on structured and unstructured datasets to prepare inputs for AI workflows

     Familiarity with MLOps/LLMOps practices for deploying and monitoring AI capabilities at scale

     Familiarity with domain knowledge surrounding government agency reporting and dissemination policies

 

Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.