Senior Software Engineer – Agent Systems

Job not on LinkedIn

🔥 7 minutes ago

🇺🇸 United States – Remote

💵 $127.2k - $254.4k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kraken Digital Asset Exchange

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

₿ Crypto

💸 Finance

💳 Fintech

Crypto • Finance • Fintech

Kraken Digital Asset Exchange is a cryptocurrency platform that facilitates the buying and selling of over 200 cryptocurrencies, including Bitcoin, Ethereum, and many others. Founded in 2011, Kraken provides a comprehensive suite of features for both beginner and advanced traders, such as advanced trading interfaces and margin trading. The platform emphasizes industry-leading security, deep liquidity, and 24/7 customer support, making it a trusted choice for users worldwide. Kraken caters to individual investors as well as institutional clients, offering services like OTC trading and custody. The company is committed to transparency with its proof of reserves and mission-driven values. Kraken operates globally, supporting clients in over 190 countries, with a quarterly trading volume exceeding $207 billion. However, users are advised of the high risk of crypto investments and the lack of regulation in some jurisdictions.

📋 Description

• 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 valuable solutions • Architect backend services integrating 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 • Work with product, infrastructure, and internal operations partners • Build internal AI-powered agents interacting directly with company systems

🎯 Requirements

• 5+ years of experience building and shipping production software systems • Strong backend engineering fundamentals, including APIs, distributed systems, data modeling, and reliability • Experience building fullstack systems, including backend and occasional frontend surfaces • Hands-on experience with AI/ML systems, LLMs, or inference pipelines in production • Ability to prototype rapidly while maintaining a path to production-grade architecture • Strong systems thinking regarding orchestration, failure modes, and observability • Comfort operating in ambiguous, 0→1 environments with high ownership • Experience with agent-based systems or autonomous workflows (nice to have) • Familiarity with prompt engineering, evaluation frameworks, or model performance tuning (nice to have) • Experience integrating with internal enterprise systems such as CRM, support tools, or analytics platforms (nice to have) • Background in developer platforms or internal tooling (nice to have) • Experience designing guardrails, sandboxing, or safety layers for AI systems (nice to have) • Applicants must provide a resume • Applicants must select the city and country from which they will work • Applicants must disclose whether they need work sponsorship

🏖️ Benefits

• Equity program • Bonus program • Wellness allowance • Medical, dental, vision, and 401(k) benefits (US Only) • Remote work • Ongoing applications accepted unless a deadline is stated • Equal opportunity employment • Job-related skills or work-style assessments applied consistently across candidates