Senior AI Enabled Engineer

Stride Build

About The Position

Stride is an AI-Powered software engineering firm built to deliver real results. We combine elite engineering talent with cutting-edge GenAI tooling to help companies build high-quality software, modernize legacy systems, and future-proof their tech orgs. We are trusted technology partners with some of the biggest names revolutionizing the tech industry. From scaling startups to iconic Fortune 500 companies, we help our clients reach their goals by providing collaborative high-end technical consulting, agile transformation, and product delivery. We are seeking an AI-Enabled Senior Full-Stack Engineer to help design, build, and deliver modern software applications across backend systems, frontend applications, and cloud infrastructure. This is a hands-on consulting role where you will collaborate closely with Product Managers, Designers, and Engineers to deliver scalable, maintainable solutions that solve real business problems. You will work across multiple technologies depending on client needs—often including Java, Python, TypeScript, JavaScript, or Ruby—while helping teams adopt modern engineering practices and, where appropriate, incorporate AI-enabled capabilities and developer tooling. 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.

Requirements

4+ years of professional experience as a Software Engineer, Full-Stack Engineer, or Backend 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.
Solid experience working with relational and NoSQL databases.
Strong understanding of RESTful APIs, distributed systems, and scalable architectures.
Familiarity with AI-assisted development tools and modern developer workflows.
Familiarity with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar orchestration tools.
Exposure to integrating AI capabilities or LLM APIs into software applications.
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.

Nice To Haves

Experience integrating AI-enabled capabilities or LLM APIs into software applications.
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.

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.
Utilize modern development tools and AI-assisted engineering workflows to improve productivity and code quality.
Integrate AI-enabled capabilities into applications when appropriate, such as LLM-powered features or automation workflows.
Experiment with emerging technologies such as LangChain, Model Context Protocol (MCP), or similar frameworks.
Collaborate with teammates to evaluate where AI technologies can improve product capabilities or engineering processes.
Apply pragmatic engineering judgment when adopting new tools and technologies.
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.
Participate in sprint planning, stand-ups, and retrospectives.
Contribute to a culture of transparency, collaboration, and continuous improvement.
Support delivery of high-quality software within Agile development environments.
Work directly with client stakeholders as part of delivery teams.
Participate in technical discussions, demos, and solution walkthroughs.
Communicate clearly about tradeoffs, risks, and implementation approaches.
Contribute to building strong client relationships through high-quality engineering work.