Senior Software Engineer – Agent Systems
Payward, Inc. is the parent company and operating platform behind Kraken and a portfolio spanning trading, custody, payments, lending, tokenized assets, onchain finance, and benchmarks.
Maintainer signals as of 9/25/2026
Funding history
Investors
Projects
About Payward, Inc.
Payward operates unified financial infrastructure across crypto and traditional markets, including shared liquidity, risk and margin systems, collateral and settlement, compliance, and licensing. Its first-party portfolio includes Kraken, Kraken Pro, NinjaTrader, Breakout, xStocks, Payward Services, CF Benchmarks, Reap, Krak, Kraken Prime, Kraken OTC, Kraken Custody, and Bitnomial.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and ship AI-powered agent systems for internal workflows and decisions. You will design inference pipelines, prototype and productionize agent behaviors, architect backend services that integrate with APIs and data sources, establish safe and observable execution patterns, and improve system reliability as usage grows.
Requirements
- 5+ years of experience building and shipping production software systems
- Backend engineering expertise in APIs, distributed systems, data modeling, and reliability
- Experience building fullstack systems
- Production experience with AI/ML systems, LLMs, or inference pipelines
- Ability to prototype rapidly while maintaining production-grade architecture
- Ability to reason about orchestration, failure modes, and observability
Responsibilities
- Build and ship AI-powered agent systems for internal workflows and decision paths
- Design and implement inference pipelines across internal systems
- Prototype agent behaviors and productionize valuable solutions
- Architect backend services integrating internal APIs and data sources
- Define safe, observable, and controllable agent-execution patterns
- Identify high-leverage automation opportunities with cross-functional partners
- Improve system speed, reliability, and signal quality
- Contribute to foundational agent-platform design decisions
Hiring Process
Job-related skills or work-style assessments may be requested; results are considered alongside experience and interviews.