Jr. AI Engineer
Ursa Space Systems · Ithaca, NY · 3 wk ago
RemoteRemoteEngineering$70k–$85k/yrFull-time
Job Summary
The Junior AI Engineer at Ursa Space builds foundational engineering capabilities by mastering a Human-on-the-Loop delivery model. In this AI-first environment, you won't just write code; you will be a steward of software quality and system integrity applying sound judgment, identifying risks, and escalating appropriately ensuring AI accelerates productivity without compromising accountability.
Job Responsibilities
- Use AI tools to assist with coding, refactoring, unit testing, and documentation
- Build skills in AI-augmented workflows, systems thinking, and analytical problem-solving
- Follow approved AI usage standards, policies, and guardrails
- Learn when to accept AI recommendations and when to seek review from senior engineers
- Implement well-defined features and enhancements under guidance
- Absorb existing applications through refactoring and API updates
- Ensure all changes meet quality, security, and compliance standards
- Participate in structured production support rotations
- Use AI-assisted diagnostics to investigate and analyze incidents
- Apply fixes (reviewed by senior engineers) to reduce recurring issues
- Adhere to coding standards and AI-assisted quality gates within CI/CD pipelines
- Participate in peer code reviews and release readiness activities
- Ensure traceability and observability requirements are met
- Work collaboratively within an AI-enabled POD and partner with Senior and Lead Engineers
Job Requirements
- 1–3 years of software engineering experience (including internships or co-op experience)
- Knowledge of at least one modern programming language - Python, React, Typescript preferred
- Experience using coding co-pilots like Claude, Codex or similar
- Familiarity with Git-based version control and CI/CD concepts
- Strong interest in AI, automation, and modern engineering practices
- Exposure to cloud platforms and API-based architectures
- Experience working in agile or POD-based delivery models
- Basic understanding of testing frameworks or automation tools
Preferred
- Knowledge or experience about managing agentic memory and creating agent harnesses, writing evals, measuring costs etc. is very desirable
Compensation
$70,000 - $85,000, relative to skills and experience
Benefits And Perks
- Competitive Compensation
- Discretionary PTO & Flexible Scheduling
- Stock Options
- 401(k) Match
- Medical, Dental and Vision Coverage for you and your dependents
- FSA & HSA Plans
- Employer-paid Life Insurance
- Employer-paid LTD and STD for Parental and Family Care
- 11 Paid Holidays
- Employee Resource Groups
- Education Assistance Program
- Professional Development Opportunities
Company Values
Use the team
Figure it out and own it
Aim for elegant simplicity
Empower diversity & inclusivity
Do the right thing
Be scrappy