Stride Build - Lead AI Enabled Engineer
Requirements
• We are seeking an AI-Enabled Lead Full-Stack Engineer to design, build, and deliver modern software solutions across backend systems, frontend applications, and cloud infrastructure. • This is a hands-on, client-facing consulting role where you will collaborate closely with Product Managers, Designers, and Engineers to deliver scalable, maintainable systems that solve real business problems. • While strong traditional software engineering skills are core to this role, we are particularly interested in engineers who are comfortable incorporating AI-enabled tooling, LLM integrations, and agentic frameworks into modern software delivery when appropriate. • 6+ years of professional experience as a Full-Stack, Backend, or Software Engineer. • Strong experience building backend services and APIs using languages such as Java, Python, Ruby, or similar technologies. • Experience developing modern frontend applications using React and/or NextJS. • Experience working with relational and NoSQL databases. • Strong understanding of RESTful APIs, distributed systems, and scalable architectures. • Strong understanding and use of Test Driven Development (TDD) and Pair Programming. • Comfortable working in Agile delivery environments (Scrum, Kanban). • Excellent communication skills and ability to work in client-facing roles. • Familiarity with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar orchestration tools. • Familiarity with AI-assisted development tools and modern developer workflows. • Exposure to integrating AI capabilities or LLM APIs into software applications. • Experience building applications that leverage LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.). • Experience working with Model Context Protocol (MCP) or tool-integrated AI systems. • Experience designing systems using retrieval-augmented generation (RAG) or vector databases. • Experience building event-driven or microservices architectures. • Consulting or professional services background. • What Success Looks Like • You deliver high-quality, scalable solutions across the full stack. • You effectively leverage AI-assisted development tools and intelligent automation to improve engineering productivity and delivery quality. • Teams trust your technical judgment and architectural guidance, particularly when evaluating where emerging technologies such as LLM integrations or agentic tooling can create real value. • Clients view you as a trusted engineering partner—not just an implementer, helping them understand how modern software practices and AI-enabled capabilities can improve their products and engineering workflows. • You help teams incorporate AI-enabled features, developer tooling, or automation into applications in ways that are practical, maintainable, and aligned with business goals. • You balance speed, quality, and maintainability in real-world delivery environments.
Benefits
• As software development evolves, we increasingly help organizations incorporate AI-assisted development and agentic tooling into modern engineering workflows. Our teams combine strong software engineering fundamentals with emerging AI capabilities to deliver scalable, high-impact products. • Full-Stack Development & Delivery • Design, build, test, and maintain modern software applications across backend and frontend systems. • Develop scalable backend services, APIs, and integrations that support high-performance applications. • Build modern frontend experiences using frameworks such as React, NextJS, or similar technologies. • Write clean, maintainable, and well-tested code following modern engineering practices. • Work across multiple programming languages and ecosystems depending on project needs. • Participate actively in architecture discussions, code reviews, and technical design sessions. • AI Enabled Development • Leverage modern development tooling, including AI-assisted coding and engineering workflows, to improve productivity and quality. • Integrate AI-enabled capabilities into development workflows when appropriate, such as adoption of agent tools or automated documentation. • Experiment with emerging technologies to improve the software development lifecycle. • Help teams evaluate where AI capabilities can enhance software systems or development workflows. • Agile Collaboration & Delivery Excellence • Partner closely with Product Managers and Product Owners to refine backlogs and clarify requirements. • Break down complex work into well-scoped, estimable user stories and technical tasks. • Provide reliable estimates and contribute to sprint and release planning. • Inspect and adapt through retrospectives, continuously improving team delivery and engineering practices. • Support a culture of transparency, accountability, and continuous improvement. • Technical Leadership & Collaboration • Serve as a technical leader on delivery teams, helping guide architecture and implementation decisions. • Collaborate closely with Product Managers and Designers to translate requirements into technical solutions. • Help estimate work, identify risks, and contribute to delivery planning and execution. • Support technical discovery and feasibility assessments during early phases of engagements. • Client & Stakeholder Engagement • Work directly with client stakeholders to understand technical requirements and constraints. • Participate in technical discussions, demos, and solution walkthroughs. • Communicate clearly about tradeoffs, risks, and implementation approaches. • Represent engineering best practices in client-facing environments. • Continuous Improvement & Engineering Excellence • Promote engineering standards around quality, testing, security, and performance. • Leverage modern tooling, automation, and AI-assisted development to improve productivity and quality. • Contribute to internal engineering patterns, documentation, and shared components. • Stay current with modern full-stack and cloud-native best practices.
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