Senior Software Engineer – Agent Systems
Kraken · Remote · United Kingdom · Brazil · United Arab Emirates · Ireland · Peru · Sweden · Colombia · Argentina · Romania · Cyprus · Switzerland · Portugal · Lithuania · South Africa · Czech Republic · Canada · Hungary · Mexico · Chile · Poland · Spain · Bulgari ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Senior level role
- Fully remote
- AI + Backend focus
- 0→1 team environment
- Crypto industry
Join the Agent Systems team, a greenfield engineering group focused on creating AI agents that interact directly with company systems. You will work at the intersection of AI, backend engineering, and product development to automate workflows and increase execution speed across the organization.
The team balances rapid prototyping with high production reliability standards. You will collaborate with product and infrastructure partners to deploy agent-driven capabilities that provide leverage across internal tools and operations.
What you'll do
- Build and ship AI-powered agent systems to automate internal workflows
- Design inference pipelines that reason over user interactions
- Prototype agent behaviors quickly and productionize valuable solutions
- Architect backend services integrating with multiple internal APIs
- Define patterns for safe, observable, and controllable agent execution
- Collaborate with cross-functional teams to identify automation opportunities
- Improve system speed, reliability, and signal quality at scale
- Contribute to foundational design decisions for the agent platform
What you'll need
- 5+ years of experience shipping production software systems
- Strong backend fundamentals including APIs and distributed systems
- Experience building fullstack systems with backend focus
- Hands-on experience with AI/ML systems or LLMs in production
- Ability to prototype rapidly while maintaining production-grade architecture
- Strong systems thinking regarding orchestration and observability
- Comfort operating in ambiguous, high-ownership environments
Nice to have
- Experience building agent-based systems or autonomous workflows
- Familiarity with prompt engineering and model performance tuning
- Experience integrating with enterprise systems like CRM or analytics
- Background in building developer platforms or internal tooling
- Experience designing safety layers or sandboxing for AI systems
Stack
- AI/ML systems
- LLMs
- Inference pipelines
- Distributed systems
- APIs
Hiring process
- Applications accepted on an ongoing basis
- Job-related skills or work-style assessments may be required
- Assessments evaluate competencies relevant to the role
- Results considered alongside experience and interviews