Mid-Level AI/ML Software Engineer [$337k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.

Herndon, VA, United States

about 2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Compensation

$337,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Artificial Intelligence Amazon Web Services Apache Tomcat Automated Storage and Retrieval Systems Unit Testing Microsoft Azure Cascading Style Sheets (CSS) Code Review DevOps Elasticsearch Cisco Nexus Switches Node.Js

+10 more

OpenSSL Software Systems Cloud Platform System ReactJS Large Language Models Generative AI Git Restful APIs Data Pipelines Jenkins

Job description

Participate in Lean Agile development.
Design and develop software systems.
Perform unit testing.
Work with cloud environments including AWS and Microsoft Azure.
Design and implement scalable search and retrieval systems leveraging Elasticsearch.
Develop and integrate LLM-powered capabilities, including RAG pipelines and vector databases.
Develop Single Page Applications using React, HTML/CSS, and RESTful APIs with Node.js.
Utilize DevOps tools such as Git, Jenkins, and Nexus.
Experience with Apache Tomcat and OpenSSL.
Manage data pipelines for search and RAG workflows., * Participate in all Lean Agile scrums, sprints and grooming sessions.
Consult and coordinate appropriately for problem resolution, task scheduling, new resource requirements, and task clarification.
Work in partnership with an integrated team of staff and contractors.
Understand the cloud environments, such as AWS or Azure.
Coordinate and collaborate with security, operations, engineering, testing and other teams to provide system information and technical support.
Design, develop and modify software systems.
Document and track vendor software roadmaps for software and patch version updates.
Unit test their software and perform code reviews.
Design and implement scalable search and retrieval systems leveraging Elasticsearch.
Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation (RAG) pipelines.
Develop Single Page Applications using React, HTML/CSS, and RESTful APIs with Node.js.
Utilize DevOps tools such as Git, Jenkins, and Nexus.
Manage data pipelines for search and RAG workflows.
Experience with Apache Tomcat and OpenSSL.