Job description

Software Engineer - AI Infrastructure Join our dynamic team as a software engineer to support the development and maintenance of AI infrastructure, enabling seamless and efficient use of AI across various applications. Responsibilities: • Develop high-quality AI tools and applications for internal workforce usage • Maintain high availability, reliability, performance, and security of AI solutions • Modify FOSS to fit customer-specific requirements • Conduct regular engagements with customers to elicit requirements and develop tailored solutions • Serve as a technical lead for AI Tools and Applications initiatives • Provide coaching, feedback, and support to assigned team members • Navigate ambiguity and define solutions for complex, underspecified systems and requirements • Establish new technical policies, standards, and governance frameworks where needed • Drive adoption of new technologies and practices across engineering teams • Implement monitoring, logging, and observability solutions for AI services • Communicate effectively with stakeholders at various organizational levels Required Skills: • Expertise in UI/UX principles • Experience using LLMs within code solution workflows • Able to quickly learn new technologies • Strong communication skills and willingness to ask questions • Mastery of Python programming language • Demonstrated ability to lead a team and manage junior developers • Significant experience developing and maintaining production software • Familiarity with AWS or other cloud service providers • Experience with Kubernetes/Helm • Familiarity with Argo CD and/or other CI/CD frameworks • Knowledge of Site Reliability Engineering (SRE) best practices • Proficiency with Docker and containerization Nice to Have: • Experience with LLM UI Open-Source software such as OpenWebUI • Extensive experience supporting production software using SRE best practices • Expertise in customer requirements elicitation and community outreach • Experience with LLM model hosting Experience Required: 12 years with Bachelor's degree in a technical field, or 16 years without degree Location: Columbia, MD Clearance: TS/SCI with Polygraph required Salary Range: $204,000 - $247,000

Requirements

Must-haves

Software Engineer - AI Infrastructure
Join our dynamic team as a software engineer to support the development and maintenance of AI infrastructure, enabling seamless and efficient use of AI across various applications.
Develop high-quality AI tools and applications for internal workforce usage
Maintain high availability, reliability, performance, and security of AI solutions
Modify FOSS to fit customer-specific requirements
Conduct regular engagements with customers to elicit requirements and develop tailored solutions
Serve as a technical lead for AI Tools and Applications initiatives
Provide coaching, feedback, and support to assigned team members
Navigate ambiguity and define solutions for complex, underspecified systems and requirements
Establish new technical policies, standards, and governance frameworks where needed
Drive adoption of new technologies and practices across engineering teams
Implement monitoring, logging, and observability solutions for AI services
Communicate effectively with stakeholders at various organizational levels
Expertise in UI/UX principles
Experience using LLMs within code solution workflows
Able to quickly learn new technologies
Strong communication skills and willingness to ask questions
Mastery of Python programming language
Demonstrated ability to lead a team and manage junior developers

Nice-to-haves

Experience with LLM UI Open-Source software such as OpenWebUI
Extensive experience supporting production software using SRE best practices
Expertise in customer requirements elicitation and community outreach
Experience with LLM model hosting
Location: Columbia, MD

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonawskubernetesci/cddockerllm

Platform: neural-solutions
Effort: medium