about 4 hours ago
Remote, WorldwideMid Level / Senior
Base Salary
$175k - $200k/yr
Responsibilities
- Build internal AI infrastructure connecting LLMs and AI agents with internal tools and data sources.
- Develop and maintain agentic AI systems for task automation and internal productivity.
- Create pipelines for data retrieval, context management, and internal knowledge search.
- Support ML infrastructure workflows including data preparation and model deployment.
- Build evaluation frameworks for agent performance and model quality.
- Develop observability and monitoring tools for AI agents and ML pipelines.
- Collaborate with various teams to identify and implement high-value AI use cases.
- Ensure security of AI systems with least-privilege access and safe handling of sensitive data.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in software or infrastructure engineering.
- Strong programming skills in Python, TypeScript, Go, C++, or similar languages.
- Experience building production software systems and APIs.
- Familiarity with modern AI infrastructure concepts and tools.
- Ability to integrate systems across various data sources and APIs.
- Strong understanding of production engineering fundamentals.
- Ability to work collaboratively across multiple teams.
- Strong debugging skills with complex distributed systems.
- U.S. citizenship and ability to obtain a security clearance.
Benefits
- 100% Employer paid Health, Dental and Vision Insurance for you and your families.
- Life Insurance (Employer Paid).
- 401k program participation with matching.
- Unlimited PTO policy with a 2 week minimum.
- Equity Package.
- Work / Home Office Stipend.
- Global Entry.
- 16 Week Paid Parental Leave.
- Monthly Health and Wellness Stipend.