GenAI Engineer in Manchester

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. Our customers rank among the who’s who in the Fortune 50. 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.

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!

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 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 hire you for who you are, and we want you to bring your authentic self to work every day! 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.