AI Engineer (TLM - 014)

Posted 3 Days Ago
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Annapolis Junction, MD, USA
In-Office
Entry level
Artificial Intelligence • Cloud • Information Technology • Analytics
The Role
Build production-quality AI applications using Python and existing large language models. Design multi-agent and multi-step workflows with prompt chaining, tool use, and orchestration; engineer and evaluate prompts; integrate AI into RESTful APIs and microservices; and deploy solutions on AWS. Preferred work includes RAG pipelines, vector databases, observability, exploratory data analysis, and MLOps/LLMOps practices.
Summary Generated by Built In

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.

Skills Required

  • Strong Python development skills and experience writing production-quality, maintainable code
  • Hands-on experience building applications on top of existing LLMs through commercial or self-hosted model APIs
  • Experience designing multi-agent or multi-step AI workflows, including prompt chaining, tool use, and agent orchestration
  • Strong prompt engineering skills and experience evaluating and validating LLM outputs
  • Experience integrating AI capabilities into software architectures using RESTful APIs and microservices
  • Experience with Amazon Web Services (AWS)
  • 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
  • Familiarity with MLOps and LLMOps practices for deploying and monitoring AI capabilities at scale
  • Familiarity with government agency reporting and dissemination policies
  • Active TS/SCI with Polygraph security clearance
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The Company
38 Employees
Year Founded: 2015

What We Do

SageCor Solutions is a Maryland-area engineering firm serving Intelligence Community and Department of Defense customers. Founded to support high-performance computing missions, it now delivers full-lifecycle systems engineering, high-performance data analytics, artificial intelligence and machine learning, cloud architecture, software and hardware design, cybersecurity, testing, and technical advisory services. Its mission is to solve complex national-security technology challenges through specialized engineering expertise.

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