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Senior AI Engineer

9 hours, 33 minutes ago
United Kingdom
Full-time
Senior
AI Engineer
Software Development
CI/CD Generative AI LLM Machine Learning MLflow MLOps Python
Apply Now
Anaplan

Anaplan

Anaplan provides a connected planning platform for finance, supply chain, and sales strategies, enabling large organizations to make informed plans, drive effective decision-making, and transform planning processes.

Internet Software & Services
1K-5K
Founded 2006
View All Jobs 18

Description

  • Contribute to the architecture and own the design, development, and deployment of scalable generative AI and machine learning systems in production.
  • Develop end-to-end GenAI features, including backend API services, model integration, monitoring, evaluations, and deployments.
  • Integrate and optimize LLMs for business planning use cases through prompt engineering and RAG implementation.
  • Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language.
  • Implement evaluation frameworks to measure and improve GenAI quality across accuracy, latency, and user satisfaction.
  • Design and develop APIs that expose AI capabilities to Anaplan’s platform and third-party integrations.
  • Optimize model inference pipelines for performance, cost, and scalability in production environments.
  • Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behavior.
  • Participate in code reviews, lead technical design discussions, and mentor junior and mid-level engineers.

Requirements

  • Extensive hands-on professional experience in artificial intelligence, machine learning, or related engineering domains.
  • End-to-end experience across the model lifecycle, including deploying and maintaining ML models in production.
  • Strong knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
  • Experience fine-tuning LLMs for domain-specific enterprise applications.
  • Experience with MLOps and LLMOps for scalable, reliable, and monitorable deployments.
  • Experience with agentic frameworks and autonomous agent architectures.
  • Proficiency in Python and modern software development practices, including testing, code review, and CI/CD.
  • Knowledge of vector databases and embedding models such as Pinecone, Weaviate, or Qdrant (desirable).
  • Experience with model serving frameworks such as vLLM, TensorRT, or Ray (desirable).
  • Experience with A/B testing and experimentation frameworks for AI features, and with observability tools such as LangSmith, W&B, or MLflow (desirable).

Interested in this position?

Apply directly on the company website

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