Senior Software Engineer (AI)

Senior Software Engineer – AI Platforms & Integrations📍 Greater Phoenix Area | Hybrid (4 Days Onsite)💡 AI-Native Product Engineering | Backend / APIs Focused🔄 6 Month Contract -Hire (no third parties- must be a US Citizen or GC Holder) We are partnered with a rapidly growing company building an enterprise AI platform designed to power intelligent workflows, knowledge retrieval, automation, and AI-enabled operational experiences across a large-scale business environment. This is not a traditional enterprise engineering role. The team is looking for a highly technical, AI-native engineer who thrives in ambiguity, moves quickly, and can operate with significant autonomy in a fast-moving environment. This person will play a critical role in building production-grade AI integrations, orchestration layers, internal tooling, and backend services that sit at the center of the company’s next-generation AI initiatives. The ideal candidate is deeply hands-on, highly product-minded, and already leveraging modern AI tooling as part of their day-to-day engineering workflow. This role is heavily backend and API focused. While full-stack exposure is helpful, the priority is someone strong in backend architecture, integrations, cloud services, orchestration, and enterprise system connectivity.

Strongly Preferred ExperienceAI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similarExperience with agentic workflows, tool-calling, MCP, function-calling, or AI-to-system integrationsRAG architectures, vector databases, embeddings, or enterprise knowledge retrievalAWS Bedrock or other enterprise LLM platforms Integration tooling such as Workato, MuleSoft, Boomi, or similarExperience building AI workflows connected to operational, support, HR, or enterprise systems Exposure to Datadog, Snowflake, Zendesk, Workday, Microsoft Teams, or similar enterprise tooling What Makes This Role Different This team is specifically looking for engineers who have fundamentally changed how they build software because of AI.That means: Using AI tools as part of real engineering workflows — not just experimentation Writing strong specs, prompts, implementation plans, and validation criteria Leveraging AI to increase velocity while still maintaining engineering rigor Owning architecture, quality, security, and production readiness Understanding where AI accelerates engineering — and where human judgment still matters most Environment & Culture Fast-moving, highly collaborative engineering environment Significant ownership and autonomy Small, high-impact team with strong technical expectations Builders and problem-solvers thrive here Hybrid schedule with 4 days/week onsite in the Greater Phoenix area This is an opportunity to help shape how a large-scale organization operationalizes AI across the business while still working in an environment that feels highly entrepreneurial and engineering-driven.