AI Enabled Lead Engineer

Stride is an AI-Powered software engineering firm focused on delivering real results through elite engineering talent and cutting-edge GenAI tooling. They are seeking an AI-Enabled Lead Full-Stack Engineer to design, build, and deliver modern software solutions while collaborating closely with Product Managers, Designers, and Engineers.

Responsibilities:

• 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
• 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
• 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
• 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
• 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
• 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

Requirements:

• 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