Summary
Visionist, Inc. has an exciting new opportunity for a Junior Full Stack Software Engineer. You will be joining a critical mission supporting our customers big data processing platforms, working with the newest technology and methodologies for processing mass amounts of data and distilling them into actionable results.
Responsibilities
- Implement and support infrastructure for AI model inference under the guidance of senior engineers
- Contribute to the development and maintenance of production AI services and applications, including retrieval-augmented generation (RAG) and autonomous agents
- Participate in implementing monitoring, logging, and observability for AI services
- Assist with automating infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles
- Help ensure the availability, reliability, and performance of AI platform components
- Follow established security best practices for AI systems and data
- Work effectively in ambiguous problem spaces, learning to define structured and scalable solutions
- Collaborate with cross-functional teams and contribute to shared engineering standards
Skills
- Active Top Secret (TS/SCI) clearance with polygraph is required
- Bachelor's degree in a technical discipline. (Additional 2 years of experience may substitute degree)
- 3 years of experience in software development
- One of the following certifications: AWS Certified Developer --- Associate, AWS Certified Machine Learning --- Associate, AWS Certified Machine Learning --- Specialty, AWS DevOps Engineer Professional, Certified Kubernetes Application Developer (CKAD)
- Experience contributing to production systems
- Familiarity with high-volume web application architectures
- Exposure to cloud engineering, preferably AWS
- Working knowledge of Kubernetes concepts and containerized deployments
- Proficiency in Python
- Familiarity with CI/CD pipelines and DevOps practices
- Ability to learn new technologies quickly and adapt in fast-moving environments
- Strong communication skills and a willingness to ask questions and collaborate
Qualifications
Must Haves
- Active Top Secret (TS/SCI) clearance with polygraph is required
- Bachelor's degree in a technical discipline. (Additional 2 years of experience may substitute degree)
- 3 years of experience in software development
- One of the following certifications: AWS Certified Developer --- Associate, AWS Certified Machine Learning --- Associate, AWS Certified Machine Learning --- Specialty, AWS DevOps Engineer Professional, Certified Kubernetes Application Developer (CKAD)
- Experience contributing to production systems
- Familiarity with high-volume web application architectures
- Exposure to cloud engineering, preferably AWS
- Working knowledge of Kubernetes concepts and containerized deployments
- Proficiency in Python
- Familiarity with CI/CD pipelines and DevOps practices
- Ability to learn new technologies quickly and adapt in fast-moving environments
- Strong communication skills and a willingness to ask questions and collaborate
Benefits
- We are a **100%** employee-owned company, so our employees see the benefit of their contributions and have a stake in our overall success!
- **Competitive 15% retirement contribution!** (5% 401K match & 10% ESOP)
- **4** weeks paid time off that is never “use or lose”, **12** paid holidays, **comp time**, **overtime**, AND **flexible work hours**
- **80** hours of paid parental leave with an additional **$8,000** supplemental payment upon returning from maternity
- **Medical, dental, & vision** benefits for both individuals and families (those who waive medical benefits will receive an additional **$4,160/year**)
- Annual **lifestyle bonus of $600** – use it towards gyms/fitness, new tech, or your HSA!
- Annual **merit increases & performance-based bonuses**
- Term life insurance, short-term disability, & long-term disability