Related skills
python prompt engineering apis mlops llmsπ 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.
π― 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).
π 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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