Senior GenAI Engineer
We're seeking a versatile 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 GenAI within their planning workflows, requiring deep ML knowledge and strong software engineering skills.
Your Impact
- 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 productionize 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
Your Qualifications
- 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
- 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
Preferred Qualifications
- Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar)
- Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
- Experience with model serving frameworks (vLLM, TensorRT, 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 (LangSmith, W&B, MLflow)
What Makes This Role Exciting
- Lead a greenfield team building transformative AI capabilities from the ground up
- Work on cutting edge conversational and agentic AI technologies
- Build user facing AI features that directly impact how businesses plan and make decisions
- Experiment with the latest GenAI models and techniques
- 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. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. 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 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.