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

Alteryx

3d•$118,700 - $153,900•Remote

About The Position

Meet the Moment with Alteryx We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation. You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible. If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here. Alteryx is searching for a Sr. Software Engineer (Back-End). This position is remote-friendly. Position Overview: We’re looking for a Senior Software Engineer to help build and scale the backend systems that power AI experiences across Alteryx. This is primarily a Python backend role focused on the services, APIs, orchestration layers, and platform integrations behind Copilot / Ask Alteryx and related AI capabilities. In addition to core backend engineering, this role also flexes into agent systems work when needed, contributing to the service-side AI workflows, MCP-connected skills, and orchestration patterns that make those experiences useful. You’ll work across core backend services and adjacent agent systems that connect Alteryx products and domain capabilities into a shared AI platform. That includes APIs and service integrations, authentication and authorization flows, telemetry and observability, data and tool orchestration, and the infrastructure needed to run reliable, scalable AI systems in production. This is intentionally a flex role. Depending on roadmap priorities and delivery pressure, you may spend more time in a given quarter on core backend service work or more time on agent systems and AI orchestration. In practice, we expect this engineer to move fluidly between backend and agent responsibilities based on where the team most needs senior capacity, but the center of gravity is backend engineering. This role is a strong fit for an engineer who can independently deliver medium-sized projects end-to-end, contribute to technical design, and move comfortably between application backend work and agent-oriented problem solving. You’ll help turn ambiguous product opportunities into reliable customer-facing capabilities while balancing speed, craft, maintainability, and operational rigor.

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.

Nice To Haves

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.

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.

Benefits

A monthly Connectivity Plus stipend of $150 to support remote work-related expenses
An annual $200 home office reimbursement
Medical, dental, and vision coverage
401(k) with company match
Paid parental leave, caregiver leave, and flexible time off
Mental health support and wellness reimbursement
Career development and education assistance

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