AI Software 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, 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! We seek a AI Software Engineer to join our AI infrastructure team. This team owns and operates a core service that runs AI-powered agents and their associated infrastructure, ensuring reliability, scalability, and ease of use for internal and external stakeholders. You’ll work across backend systems, front-end integration, and AI/ML workflows, with opportunities to expand your expertise in prompt engineering, Retrieval-Augmented Generation (RAG), and large language model (LLM) interactions. Your Impact Design, build, and maintain services and infrastructure that manage AI-powered agents. Develop backend services in Python, with comprehensively tested and self-documented APIs. Work with Agentic AI frameworks and implement prompt engineering best practices to build scalable foundational platform. Work with relational databases (MySQL) to store, query, and optimize structured data. Collaborate with product and research teams to refine and implement the product roadmap. Support front-end teams using React/JS components and wrappers for AI-driven experiences. Learn, apply, and optimize RAG systems, including vector databases, embeddings, and document chunking strategies. Build a practical understanding of how large language models (LLMs) work and deepen expertise in effective interactions with LLMs for agent orchestration. Monitor, debug, and optimize system performance, ensuring high reliability in production environments. Your Qualifications Strong proficiency and experience working with Python-based services Hands-on experience with relational databases (MySQL or similar). Familiarity with React and ability to support front-end AI integrations. Basic understanding of large language models and eagerness to expand knowledge. Demonstrated interest or experience in prompt engineering and working with LLMs. Strong problem-solving, debugging, and collaboration skills. Nice-to-Have Prior experience with vector databases (Pinecone, Weaviate, FAISS, etc.). Knowledge of retrieval-augmented generation (RAG) pipelines. Experience with AI/ML infrastructure or agent frameworks. Familiarity with cloud environments (AWS, GCP, Azure) and containerized deployments (Docker, Kubernetes). 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, disabil ... (truncated, view full listing at source)