Senior Software Engineer (AI)

Senior Software Engineer – AI Platforms & Integrations
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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.What You’ll Be DoingBuild and scale AI-enabled internal platforms, orchestration services, and automation workflowsDevelop backend services, APIs, integrations, and agentic workflows that interact with enterprise systems and AI toolingDesign systems that leverage LLMs, retrieval pipelines, tool-calling, workflow automation, and enterprise knowledge accessIntegrate with platforms such as HR systems, support tooling, communication platforms, CMS systems, operational tooling, and data platformsRapidly prototype and ship production-ready AI-powered applications and workflowsUse AI-assisted engineering tools (Cursor, Claude Code, GitHub Copilot, etc.) to dramatically accelerate development velocityReview, refine, secure, and productionize AI-generated code and workflowsPartner directly with technical and business stakeholders to translate ambiguous problems into scalable solutionsHelp define engineering patterns, architecture standards, and AI governance best practicesContribute across architecture, backend engineering, integrations, observability, CI/CD, testing, and cloud infrastructureWhat They’re Looking For7+ years of software engineering experienceStrong backend engineering experience building APIs, integrations, distributed services, and cloud-native systemsExperience building real-world AI-enabled applications, integrations, or internal AI toolingHands-on experience with modern AI engineering workflows and AI-assisted development toolingAbility to operate independently in a high-autonomy, startup-style environmentExperience working directly with stakeholders and owning projects end-to-endStrong understanding of system design, security, testing, observability, and maintainabilityExperience integrating with enterprise platforms, third-party APIs, event-driven systems, or iPaaS toolingCloud experience, ideally AWSComfortable moving quickly while maintaining production-quality standardsStrong written and verbal communication skillsStrongly 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 platformsIntegration tooling such as Workato, MuleSoft, Boomi, or similarExperience building AI workflows xzbcwsv connected to operational, support, HR, or enterprise systemsExposure to Datadog, Snowflake, Zendesk, Workday, Microsoft Teams, or similar enterprise toolingWhat Makes This Role DifferentThis 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 experimentationWriting strong specs, prompts, implementation plans, and validation criteriaLeveraging AI to increase velocity while still maintaining engineering rigorOwning architecture, quality, security, and production readinessUnderstanding where AI accelerates engineering — and where human judgment still matters mostEnvironment & CultureFast-moving, highly collaborative engineering environmentSignificant ownership and autonomySmall, high-impact team with strong technical expectationsBuilders and problem-solvers thrive hereHybrid schedule with 4 days/week onsite in the Greater Phoenix areaThis 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.