Mid-Level LLM Software Engineer [$300k/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

$300,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Amazon Web Services Apache Tomcat Automated Storage and Retrieval Systems Unit Testing Microsoft Azure Code Review DevOps Elasticsearch Cisco Nexus Switches Node.Js Software Systems Transport Layer Security

+9 more

Enterprise Software Applications Cloud Platform System ReactJS Large Language Models Generative AI Git Web Technologies Restful APIs Jenkins

Job description

Participate in Lean Agile development.
Design, develop, and modify software systems.
Implement scalable search and retrieval systems leveraging Elasticsearch.
Develop LLM-powered capabilities, including RAG pipelines.
Build Single Page Applications using React, HTML/CSS.
Develop RESTful APIs with Node.js.
Troubleshoot web technologies including Tomcat and SSL.
Utilize DevOps tools such as Git, Jenkins, and Nexus.
Work with AWS, Azure, and vector databases.
Integrate LLMs into enterprise applications., * Participate in Lean Agile scrums, sprints, and grooming sessions.
Consult and coordinate for problem resolution, task scheduling, and resource requirements.
Collaborate with integrated teams of staff and contractors.
Understand and work within cloud environments like AWS and Azure.
Coordinate with security, operations, engineering, and testing teams for technical support.
Design, develop, and modify software systems.
Document and track vendor software roadmaps for updates.
Perform unit testing and code reviews.
Design and implement scalable search and retrieval systems leveraging Elasticsearch.
Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation (RAG) pipelines.
Build Single Page Applications using React, HTML/CSS.
Develop RESTful APIs with Node.js.
Troubleshoot web technologies including Apache Tomcat and SSL.
Utilize DevOps tools such as Git, Jenkins, and Nexus.
Work with vector databases.
Integrate LLMs into enterprise applications.