about 3 hours ago
Responsibilities
- Contribute to the architecture and take ownership of the design, development, and deployment of scalable Generative AI and Machine Learning systems.
- Develop end-to-end GenAI features, including backend API services and model integration.
- Integrate and optimize LLMs for specific business planning use cases.
- Build conversational interfaces and workflows for complex planning tasks.
- Implement evaluation frameworks to measure and improve GenAI feature quality.
- Design and develop APIs that expose AI capabilities to Anaplan's platform.
- Optimize model inference pipelines for performance and scalability.
- Implement monitoring and observability for GenAI systems.
- Participate in code reviews and mentor junior engineers.
Requirements
- Extensive hands-on experience in AI, ML, or related engineering fields.
- End-to-end exposure in model lifecycle development and deployment.
- Strong knowledge of LLM APIs and conversational AI patterns.
- Experience in fine-tuning LLMs for enterprise applications.
- Experience with MLOps and ensuring scalable model deployments.
- Worked with agentic frameworks and autonomous agent architectures.
- Proficiency in Python and modern software development practices.