Build and ship AI-powered agent systems that automate internal workflows and decision paths at Kraken.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 11 hours ago
Skills & Technologies
What you'll build
- Build and ship AI-powered agent systems
- Design and implement inference pipelines
- Prototype quickly to validate agent behaviors
- Architect backend services that integrate with internal APIs
- Collaborate cross-functionally to identify automation opportunities
Must have
- 5+ years of experience building and shipping production software systems
- Strong backend engineering fundamentals
- Hands-on experience working with AI/ML systems
Nice to have
- Experience building or operating agent-based systems
- Familiarity with prompt engineering
- Experience integrating with internal enterprise systems
AI in the day-to-day
The team builds internal AI-powered agents that interact directly with company systems to automate workflows.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Software Engineer on the Agent Systems team at Kraken focuses on developing AI-powered agents that automate internal workflows and enhance operational efficiency. The position requires strong backend engineering skills, experience with AI/ML systems, and the ability to prototype and productionize solutions effectively. Ideal candidates have over five years of experience in software development and are comfortable navigating ambiguous environments. The team operates at the forefront of AI and backend engineering, contributing to a foundational platform that supports the company's growth.
Joblaze insights
- Listed yesterday — first seen on Joblaze September 28, 2026. Last confirmed on Kraken's careers page September 30, 2026.
- This exact title is also open at 1 other location at Kraken: United Kingdom.
- AI/ML appears in 44.1% of 528 comparable senior ai/ml roles in United States; Backend appears in 0.6% of 528 comparable senior ai/ml roles in United States.
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Senior Software Engineer – Agent Systems role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, APIs, Backend, distributed systems, inference pipelines.
- What seniority level is this role?
- Kraken targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer – Agent Systems role at Kraken.
From the original posting
Proof of work
The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration.
This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools.
You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.
The opportunity
Build and ship AI-powered agent systems that automate internal workflows and decision paths
Design and implement inference pipelines that reason over user interactions across internal systems
Prototype quickly to validate agent behaviors, then productionize what proves valuable
Architect backend services that integrate with multiple internal APIs and data sources
Define patterns for safe, observable, and controllable agent execution
Collaborate cross-functionally to identify high-leverage automation opportunities
Improve system speed, reliability, and signal quality as usage scales
Contribute to foundational design decisions for a 0→1 agent platform
Skills you should HODL
5+ years of experience building and shipping production software systems
Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability)
Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces
Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production
Ability to prototype rapidly while maintaining a clear path to production-grade architecture
Strong systems thinking — able to reason about orchestration, failure modes, and observability
Comfort operating in ambiguous, 0→1 environments with high ownership
Nice to haves
Experience building or operating agent-based systems or autonomous workflows
Familiarity with prompt engineering, evaluation frameworks, or model performance tuning
Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.)
Background in building developer platforms or internal tooling
Experience designing guardrails, sandboxing, or safety layers for AI systems
Stay connected
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