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Description:
- Build internal AI infrastructure connecting LLMs and AI agents with internal tools, APIs, and data sources.
- Develop tools and services for task automation, data analysis, and internal productivity.
- Create pipelines for data retrieval, context management, and internal knowledge search.
- Support ML infrastructure workflows including data preparation and model deployment.
- Partner with various teams to identify and implement high-value AI use cases.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field.
- 3+ years of experience in software or infrastructure engineering, ML infrastructure, or related roles.
- Strong programming skills in Python, TypeScript, Go, C++, or similar languages.
- Experience with production software systems, APIs, and data pipelines.
- Familiarity with AI infrastructure concepts and securing AI systems.
- Ability to work across multiple teams and strong debugging skills.
- U.S. citizenship and ability to obtain a security clearance.
Benefits:
- 100% employer-paid health, dental, and vision insurance for employees and families.
- Life insurance (employer paid) and 401k program participation (matching).
- Unlimited PTO policy with a minimum of 2 weeks enforced.
- Equity package and work/home office stipend.
- Global Entry and 16 weeks paid parental leave.
- Monthly health and wellness stipend.
Job title
Job type
Experience level
Required experience
3 years
Salary
$175,000—$200,000 / year
Degree requirement
Degree requiredSkills
Location requirements
-
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