GenAI Engineer

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, Linked In, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in‑class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy‑led, values‑based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

We’re seeking a versatile GenAIEngineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You’ll build production‑ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills
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This role is flexible in scope, and we welcome candidates at all experience levels.

• Develop end‑to‑end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments
• Integrate and optimize LLMs for specific use cases in business planning, including 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 feature quality, including accuracy, latency, and user satisfaction metrics
• 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 behaviour
• Collaborate with data scientists to product ionize ML models and forecasting algorithms
• Write comprehensive tests, including unit tests, integration tests, and prompt regression suites
• Participate in code reviews, technical design discussions, and knowledge‑sharing sessions
• Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption

• Software engineering experience with a focus on ML/AI systems
• Strong programming skills in Python, including experience with ML frameworks (PyTorch, Tensor Flow, Transformers)
• Experience building and deploying LLM‑powered applications in production
• Proficiency in front‑end development with React, Type Script, and modern web technologies
• Understanding of RESTful API design, microservices architecture, and cloud infrastructure
• Experience with prompt engineering, RAG systems
• Strong foundation in ML fundamentals, including NLP, time‑series analysis, or recommender systems
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
• Excellent problem‑solving skills and attention to detail
• Bachelor’s degree in computer science, Machine Learning, or related field

• Experience with GenAI frameworks (Lang Chain, Llama Index, Haystack, or similar)
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
• Experience with model serving frameworks (vLLM, Tensor
  
  RT, Ray)
• Background in forecasting, planning, or analytics applications
• Familiarity with Anaplan or similar enterprise planning platforms
• Experience with A/B testing and experimentation frameworks for AI features
• Contributions to open‑source ML projects or research publications
• Experience with model observability tools (Lang Smith, W&B, MLflow)

• Lead a greenfield…