AI Ops Engineer

Sovos

Porto

Presencial

EUR 42 000 - 68 000

Tempo integral

Há 9 dias

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Resumo da oferta

Sovos is seeking an AI Ops Engineer to own the end-to-end LLMOps lifecycle for a portfolio of AI products. You will drive AI quality, safety, evaluation, observability, and continuous improvement to ensure reliable, scalable, production-ready AI experiences.

Join a global, remote-first team and help shape AI experiences used by customers worldwide. This role includes working the UK shift and collaborating with AI, Product, and Engineering leaders.

Qualificações

  • 1–3 years in AI engineering or related fields.
  • Experience with LLM observability and evaluation platforms.
  • Knowledge of NLP concepts, embeddings, and retrieval.
  • Strong product mindset and stakeholder management.
  • Hands-on in building evaluation datasets and benchmarks.

Responsabilidades

  • Gate new AI agents, prompts, and models before production release.
  • Design and run evaluation frameworks using deterministic testing.
  • Build and maintain golden datasets, annotation pipelines, and human-review workflows.
  • Monitor AI quality, hallucinations, drift, latency, cost, and safety metrics.
  • Translate customer feedback and production learnings into measurable quality improvements.
  • Drive AI adoption and quality standards across your assigned product portfolio.

Conhecimentos

LLMOps
AI Quality Eng
Langfuse
LangSmith
Phoenix
NLP concepts
Embeddings
Retrieval
Stakeholder mgmt
Product mindset
QA/Test Automation

Ferramentas

Langfuse
LangSmith
Phoenix

Descrição da oferta de emprego

Build your future with Sovos.

Sovos is transforming tax compliance from a business requirement into a force for growth. Trusted by more than 100,000 customers worldwide, including many of the world's leading organizations, we are leveraging AI to build smarter, more impactful customer experiences.

We're looking for a AI Ops Engineer to own the end-to-end LLMOps lifecycle for a portfolio of Ask Sovi products. You'll drive AI quality, safety, evaluation, observability, and continuous improvement, ensuring our AI-powered experiences are reliable, scalable, and production-ready.

What You'll Do
  • Gate new AI agents, prompts, and models before production release
  • Design and run evaluation frameworks using deterministic testing and LLM-as-a-Judge methodologies
  • Build and maintain golden datasets, annotation pipelines, and human-review workflows
  • Monitor AI quality, hallucinations, drift, latency, cost, and safety metrics
  • Convert customer feedback and production learnings into measurable quality improvements
  • Drive AI adoption and quality standards across your assigned product portfolio
What We're Looking For
  • 1-3 years of experience in AI Engineering, AI Operations, AI Quality Engineering, LLMOps, MLOps, Test Automation, or related disciplines
  • Experience with Langfuse, LangSmith, Phoenix, or similar LLM observability/evaluation platforms
  • Strong understanding of LLMOps, AI quality engineering, and evaluation frameworks
  • Experience with hallucination detection, model drift monitoring, prompt regression management, and AI safety evaluations
  • Hands‑on experience building evaluation datasets, quality benchmarks, and feedback loops
  • Familiarity with NLP concepts such as embeddings, semantic similarity, classification, and retrieval
  • Strong product mindset and stakeholder management skills
Ideal Backgrounds
  • Applied AI Engineers from AI-native or AI-first organizations
  • Product‑minded Engineers with strong customer and business awareness
  • QA/Test Automation Engineers who have transitioned into AI evaluation
  • AI Quality Analysts with expertise in hallucination detection, drift monitoring, and LLM‑as‑a‑Judge frameworks
Working Hours

UK Shift

Why Join Sovos?
  • Work on cutting-edge Generative AI products
  • Global, remote‑first collaboration with AI, Product, and Engineering leaders
  • Bi‑Weekly Meeting Free Days
  • Mentoring and career development programs
  • Globally recognized training opportunities
  • Comprehensive health and wellness benefits
  • Opportunity to shape AI experiences used by customers around the world
Recruitment Process
  1. CCAT & EPP Assessment
  2. Automated Video Interview
  3. Hiring Manager / Team Interview
  4. Final Interview

Interested in building the future of Enterprise AI with Sovos? We'd love to hear from you.

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