Sr. Software Engineer (Back-End, Python, AI)

Alteryx is a company leading the transformation in how work gets done through data, automation, and AI. They are seeking a Senior Software Engineer to build and scale backend systems that power AI experiences, focusing on Python backend development and integration with various services.

Responsibilities:

• Owning and delivering backend features in the Python services that power Copilot / Ask Alteryx and adjacent AI experiences
• Designing and implementing APIs, service integrations, and orchestration logic that connect UI surfaces, backend systems, and AI capabilities
• Flexing into agent workflows, tool execution paths, and MCP-oriented integrations when roadmap needs require backend engineers to support agent delivery
• Partnering with product, design, frontend, data science, and platform teams to explore problem spaces, clarify requirements, and ship customer-facing improvements
• Improving service reliability through thoughtful work on observability, testing, performance, rate limiting, background processes, and operational readiness
• Contributing to software design, code reviews, technical planning, and engineering practices that improve quality and delivery velocity
• Mentoring engineers through thoughtful feedback, pairing, and day-to-day technical collaboration
• Helping the team respond quickly to new AI opportunities while making sound tradeoffs around correctness, cost, security, and maintainability

Requirements:

• 4+ years building production backend systems in Python, including experience with APIs, service integrations, and maintainable application design
• Experience building or maintaining backend services with frameworks such as FastAPI, Flask, Django, or similar
• Solid understanding of distributed systems fundamentals, including service-to-service communication, authentication / authorization, observability, and failure handling
• Experience with relational databases, caching, and stateful service dependencies such as PostgreSQL, Redis, or similar technologies
• Demonstrated ability to own features or medium-sized projects end-to-end, from design and implementation through testing, rollout, and iteration
• Strong experience with automated testing across unit, integration, and end-to-end layers
• Working knowledge of CI/CD practices and modern development workflows using tools such as GitLab or GitHub
• Ability to collaborate effectively with product, design, data science, and engineering partners in ambiguous problem spaces
• Comfort working across both conventional backend engineering and agent-oriented development, with the judgment to shift focus based on delivery needs
• Experience building AI-assisted, LLM-powered, or agentic product experiences
• Experience with agent orchestration frameworks such as LangGraph, LangChain, or similar patterns for tool-using AI systems
• Experience with MCP, extensibility platforms, or tool-based integration models
• Experience with retrieval, grounding, evaluation, or other patterns used to improve AI system quality and reliability
• Experience with Google Cloud, Vertex AI, Kubernetes, Kafka, or similar cloud-native and platform technologies
• Familiarity with frontend or product integration work that helps connect backend AI capabilities to real user experiences