GenAI Engineer - Build Production-Grade AI Solutions

Accenture PLC

København

Hybrid

DKK 900,000 - 1,300,000

Full time

14 days+
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Job summary

Halfspace, part of Accenture, is building production‑grade GenAI solutions at the forefront of the Nordics. You will join the AI Engineering team to prototype and operationalize scalable AI systems that deliver real business impact.

We seek engineers with deep fundamentals and hands‑on experience with LLMs, agent-based architectures, RAG, LLMOps, Python, and cloud deployments who can turn cutting‑edge models into reliable, production‑ready tools.

Qualifications

  • Proven experience building and deploying production-grade Generative AI systems.
  • Hands-on experience with agent-based architectures and orchestration patterns.
  • Experience with LLMs in real-world development or applied settings.
  • Strong understanding of RAG architectures and retrieval integration.
  • Experience with LLMOps including evaluation, testing, monitoring and observability.
  • Experience designing data pipelines for LLM systems (chunking, embeddings, vector DBs).
  • Strong Python engineering skills with production standards (CI/CD, testing).
  • Experience deploying AI systems in cloud environments.

Responsibilities

  • Build and deploy production-grade Generative AI solutions.
  • Collaborate with engineers, scientists, and strategists to solve complex problems.
  • Prototype AI applications and operationalize at scale.
  • Define best practices for building GenAI that delivers value to clients.

Skills

Generative AI
LLMs
agentic AI systems
RAG architectures
LLMOps
Python engineering
cloud deployment
production-grade systems

Job description

Halfspace, part of Accenture, is building production‑grade GenAI solutions at the forefront of the Nordics. You will join the AI Engineering team to prototype and operationalize scalable AI systems that deliver real business impact.

We seek engineers with deep fundamentals and hands‑on experience with LLMs, agent-based architectures, RAG, LLMOps, Python, and cloud deployments who can turn cutting‑edge models into reliable, production‑ready tools.

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