Manhattan WMOS Engineer
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Support Manhattan WMOS implementations and operations as a WMS Engineer at ShyftLabs. ShyftLabs builds data products and digital solutions for Fortune 500 companies.
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Serko Ltd. ir Jaunzēlandē bāzēts ceļojumu un izdevumu pārvaldības tehnoloģiju uzņēmums, kas palīdz organizācijām ar tiešsaistes rīkiem pārvaldīt komandējumus un izdevumu administrēšanu. Uzņēmuma ceļojumiem paredzēto produktu vidū ir Zeno — platforma ar mākslīgā intelekta iespējām, kas izstrādāta personalizētai ceļojumu plānošanai un ērtākai rezervēšanai. Serko darbojas ar komandām Austrālijā, Amerikas Savienotajās Valstīs, Ķīnā un Indijā, apkalpo simtiem tūkstošu organizāciju vairāk nekā 180 valstīs, un uzņēmuma globālajā komandā ir vairāk nekā 360 darbinieku.
Principal Engineer, Agentic AI Applications – Serko (US Remote)
Set the architecture for scalable agentic AI across Serko’s global business travel and expense platform. Build dependable LLM systems, runtimes, and observability infrastructure.
Apraksts
- Shape how autonomous AI agents are designed, coordinated, and deployed at scale.
- Set the technical direction and architecture for new agentic AI applications.
- Own agentic system architecture, from multi-agent coordination and memory to reasoning pipelines.
- Build infrastructure for non-deterministic loops, circuit breakers, latency-aware orchestration, and token and cost monitoring.
- Establish engineering patterns, design standards, and development practices for agentic applications.
- Coach and develop senior engineers.
- Review architectures and guide consequential technical decisions.
- Contribute to hiring.
- Work with AI Operations to build, serve, and monitor agentic workloads.
- Partner with Product, Research, and Platform teams to deliver reliable, highly available products.
Prasības
- 12 or more years of software engineering experience.
- At least 4 years in technical leadership or principal-level positions.
- Hands-on experience delivering LLM-powered or agentic systems to production.
- Experience with LangGraph, AutoGen, CrewAI, or custom runtimes.
- A track record designing distributed, highly available systems.
- Expertise in Python and modern backend frameworks.
- Strong knowledge of retrieval-augmented generation (RAG), vector databases, tool-calling APIs, and multi-step reasoning.
- Ability to turn complex AI concepts into clear technical roadmaps.
- Interest in shaping engineering culture across the organization.
- TypeScript and Node.js experience is a plus.
Priekšrocības
- Competitive base salary.
- Medical benefits.
- Discretionary incentive plan tied to individual and company performance.
- Access to a learning and development platform.
- Opportunities to shape your career path.
- Flexible work policy.
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