Note: The job is a remote job and is open to candidates in USA. Ursa Space Systems is seeking a Junior AI Engineer to build foundational engineering capabilities within an AI-first environment. The role involves developing, testing, and supporting software systems while ensuring quality and compliance standards are met.
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
- Assist in modernizing 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
- Preferred: Knowledge or experience about managing agentic memory and creating agent harnesses, writing evals, measuring costs etc. is very desirable
Skills
- 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
- Experience working with MCP, CLI and Agentic tooling
- 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
- Knowledge or experience about managing agentic memory and creating agent harnesses, writing evals, measuring costs etc. is very desirable
Benefits
- 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
- Educational Assistance Program
- Professional Development Opportunities
- And more…
Company Overview