Job details
- Location
- Laurel, MD
- Work type
- Onsite
- Compensation
- $94,000 - $132,000/yr
- Clearance
- Required
- Posted
- 2 weeks ago
- Apply on
- jobs.jobvite.com
About this role
Visionist, Inc. is hiring a Software Engineer - Inference to prepare inference models for release, maintain reliable inference services and pipelines, and support customer needs. The role also involves building service infrastructure and integrating LLM-powered tools in collaboration with internal teams and model vendors.
What you'll do:
- Procure, configure, and test new inference models, preparing them for release to our user base
- Develop in-house services and techniques to guarantee continual high-quality inference service for our customer
- Work with model vendor teams and representatives to create reliable pipelines for closed-source model usage
- Collaborate with teammates on surge efforts to support short-term, high-priority inference needs from our customer
- Engage with other teams in our organization to establish solid infrastructure for our services and integrate LLM-powered tools for user needs
What they're looking for:
- Active Top Secret (TS/SCI) clearance with polygraph is required
- Bachelor's degree in a technical discipline. (Additional 4 years of experience may substitute degree)
- Experience with Python and/or other modern programming languages
- Experience with Kubernetes/Helm
- Familiarity with Argo CD and/or other CI/CD frameworks
- Familiarity with AWS or other cloud service providers
- Strong communication skills and willingness to ask questions
- Ability to learn new technologies quickly
- U.S citizenship required (green card holders and permanent residents are not eligible)
Benefits:
- Annual merit increases
- Performance-based bonuses
- 4 weeks paid time off that is never “use or lose”
- 12 paid holidays
- Comp time
- Overtime
- Flexible work hours
- 80 hours of paid parental leave
- An additional $8,000 supplemental payment upon returning from maternity
- Medical, dental, & vision benefits for both individuals and families
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