обновлено 1 день назад
Principal Software Engineer (AI)
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Описание вакансии
Текст:
TL;DR
Principal Software Engineer (AI): Designing and evolving backend platforms and runtime foundations for Agentic AI products with an accent on distributed systems, data governance, security, and low-latency operation at global scale. Focus on defining multi-year architectures, leading cross-team migrations, and building reliable, observable, cost-efficient services for LLM-adjacent workloads.
Location: Hybrid from the Galway office or remote within Ireland; remote employees must attend the Galway office at least 2–3 times per month.
Company
develops an AI-powered experience orchestration platform connecting people, systems, data, and AI for enterprise customer and employee experiences.
What you will do
- Define the multi-year backend strategy and north-star architectures for APIs, data flows, event streams, storage, consistency, and multi-tenant isolation.
- Standardize service templates, libraries, REST and event patterns, schema versioning, automated testing, and documentation across multiple teams.
- Design scalable, reliable, secure, and cost-efficient systems for Agentic AI and LLM-adjacent workloads, including SLOs, capacity planning, graceful degradation, and performance engineering.
- Lead data governance, CI/CD, infrastructure as code, progressive delivery, observability, runtime hardening, incident response, and security practices.
- Partner with AI specialists on agents, retrieval-augmented generation, tool calling, evaluation loops, interfaces, contracts, and back-pressure strategies.
- Lead major migrations and architecture programs while coaching Staff Engineers and technical leads across multiple teams.
Requirements
- Bachelor’s or Master’s degree in Computer Science or a related discipline.
- 8+ years of experience building and operating backend or platform software, with technical leadership across teams.
- Deep expertise in Java and/or Python, algorithms, data structures, and distributed-systems design.
- Experience with event-driven and service-oriented architectures, Kafka/Kinesis/SQS, REST APIs, schema evolution, idempotency, and backward-compatible APIs.
- Expertise running AWS at scale and applying modern DevOps/SRE practices, including CI/CD, infrastructure as code, automated testing, and observability.
- Experience with performance and cost optimization, AI/ML partnerships, LLM-adjacent systems, and secure, reliable, responsible AI practices.
Nice to have
- Experience with Apache Spark, Pandas, analytics, or data science technologies.
- Knowledge of machine learning concepts and frameworks.
- Understanding of LLM tooling, retrieval, evaluations, and cost/latency trade-offs.
- Experience with enterprise software security, privacy, and governance.
Culture & Benefits
- Flexible-first work options with hybrid schedules, work-from-home flexibility, and collaboration from the Galway office.
- Continuous learning, mentoring, leadership development, and education support.
- Employer-supported pension scheme, annual bonus, private health insurance, dental coverage, income protection, and life assurance.
- Paid maternity and paternity leave, paid volunteer time, wellbeing resources, and regionally tailored family programs.
Hiring process
- Application review by Talent Acquisition and the hiring team.
- Zoom interview followed by meetings with the hiring manager and interview team.
- Usually no more than five interviews, followed by communication about the final steps.
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