Added
21 minutes ago
Type
Full time
Salary
Salary not provided

Related skills

python prompt engineering apis mlops llms

πŸ“‹ Description

  • Own the design, development, and deployment of scalable GenAI/ML systems in production.
  • Develop end-to-end GenAI features: APIs, model integration, monitoring, evals, deployments.
  • Integrate and optimize LLMs for planning use cases, including prompt engineering and RAG.
  • Build conversational interfaces and agentic workflows for natural-language planning.
  • Implement evaluation frameworks to measure GenAI feature quality (accuracy, latency).
  • Design and develop APIs exposing AI capabilities to Anaplan's platform and third-party integrations.

🎯 Requirements

  • Extensive hands-on experience in AI/ML or related engineering fields.
  • End-to-end model lifecycle development; deploying and maintaining ML models in production.
  • Strong knowledge of LLM APIs, prompt engineering, and conversational AI.
  • Experience in fine-tuning LLMs for domain-specific enterprise applications.
  • Experience with MLOps and LLMOps; scalable, reliable deployments.
  • Worked with agentic frameworks and autonomous agent architectures.
  • Proficiency in Python and modern software practices (testing, code review, CI/CD).

🎁 Benefits

  • Winning culture focused on customer success and collaboration.
  • Strategy-led, values-based environment with growth opportunities.
  • DEIB commitment and accommodations for applicants with disabilities.
  • Career development and leadership opportunities.
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