Senior GenAI Platform Engineer

New
P
PleoFintech
We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choiceFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Required Skills
PythonJVMKotlinDistributed Systems

Requirements

  • Strong backend or systems engineering background with experience operating production services.
  • Proven experience designing and delivering shared platform or infrastructure components.
  • Deep understanding of production ownership, including monitoring, alerting, and incident response.
  • Strong fundamentals in distributed systems, specifically async workflows, idempotency, and failure design.
  • Hands-on experience with LLM APIs or production failure modes like latency, context windows, and cost control.
  • Security mindset regarding AI systems, including prompt injection, PII handling, and data leakage prevention.
  • Strong programming proficiency in either a JVM-based language (e.g., Kotlin) or Python.
  • Experience with LLMOps, data retrieval, prompt engineering, and production model evaluation.
  • Clear communication skills for collaborating with technical and non-technical stakeholders.

Responsibilities

  • Design, build, and operate core GenAI platform components including LLM routing gateway, vector search, RAG infrastructure, and agentic workflow orchestration.
  • Develop AI observability and evaluation tooling to trace LLM calls, detect drift, and track costs.
  • Ensure production-quality delivery of platform features from design through rollout, monitoring, and incident response.
  • Contribute to resilient system design, including failure handling, rate limiting, retries, and safe change management.
  • Build internal SDKs, templates, and guardrails to enable product engineers to ship AI features safely.
  • Collaborate with Applied AI engineers and product teams to turn platform needs into practical, scalable solutions.
  • Support team growth through code reviews, pairing, and documentation.
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