ENGINEER REMOTE SUPPORT

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
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.
We're seeking a versatile GenAI Engineer 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.
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
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 productionize ML models and forecasting algorithms
Write comprehensive tests, including unit tests, integration tests, and prompt regression suites
Software engineering experience with a focus on ML/AI systems
Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers)
Experience building and deploying LLM-powered applications in production
Proficiency in front-end development with React, TypeScript, and modern web technologies
Experience with prompt engineering, RAG systems
Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems
Bachelor's degree in computer science, Machine Learning, or related field
Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
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
Lead a greenfield team building transformative AI capabilities from the ground up
Collaborate with talented engineers, data scientists, and product designers
Solve unique challenges at the intersection of AI and enterprise software
Grow your skills in both ML engineering and full-stack development
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. 
Fraud Recruitment Disclaimer  
Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  
Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.