What are the core responsibilities of a Senior AI Enabled Engineer at Stride?

As a Senior AI Enabled Engineer at Stride, you will be responsible for designing, building, and delivering modern software applications across full-stack development. This includes backend services, frontend applications, and cloud infrastructure, often involving languages like Java, Python, and Go. A key aspect is leveraging AI-assisted development tools and integrating AI capabilities into applications to improve productivity and product features.

What technologies are commonly used by Senior AI Enabled Engineers at Stride?

Stride engineers work across a variety of technologies based on client needs. Commonly used backend languages include Java, Python, and Go. For frontend development, experience with React and NextJS is highly valued. Familiarity with AI-related tools and frameworks such as LangChain, LLM APIs, and Model Context Protocol (MCP) is also crucial for this role.

How does Stride incorporate AI into its engineering practices?

Stride integrates AI by using AI-assisted development tools to enhance productivity and code quality, and by incorporating AI-enabled capabilities like LLM-powered features directly into client applications. They also experiment with emerging AI technologies and agentic frameworks to improve product capabilities and engineering processes, always applying pragmatic engineering judgment.

What is the expected experience level for a Senior AI Enabled Engineer at Stride?

Stride is looking for candidates with at least 4 years of professional experience as a Software Engineer, Full-Stack Engineer, or Backend Engineer. This includes strong experience in building backend services and APIs, developing modern frontend applications with React/NextJS, working with databases, and understanding distributed systems and scalable architectures.

Is this a client-facing role at Stride?

Yes, this is a hands-on consulting role, which involves working directly with client stakeholders as part of delivery teams. You will participate in technical discussions, demos, and solution walkthroughs, requiring excellent communication skills to clearly articulate tradeoffs, risks, and implementation approaches.

What are the 'nice to have' qualifications for a Senior AI Enabled Engineer?

Nice-to-have qualifications include experience with agentic AI frameworks (LangChain, CrewAI, AutoGen), working with Model Context Protocol (MCP) or tool-integrated AI systems, designing systems using RAG or vector databases, building event-driven or microservices architectures, and prior consulting or professional services experience.

Senior AI Enabled Engineer

Stride · United States

Hybrid
Full-time
$140,000 / year
United States

Tailored resume — keyword-matched to this role.

Hiring manager — we find who's hiring.

Intro email — drafted to reach them directly.

Job highlights

Design, build, and deliver modern software applications.
Collaborate with cross-functional teams on scalable solutions.
Utilize AI-assisted development and modern tooling.
Work across diverse technologies like Java, Python, Go.
Engage directly with client stakeholders on projects.

About the role

About Stride Consulting

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.

What We Are Looking For

We are seeking a 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, Go, TypeScript, JavaScript, or Ruby—while helping teams adopt modern engineering practices and, where appropriate, incorporate AI-enabled capabilities and developer tooling.

Why Stride

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

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.

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.
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.

Client & Stakeholder Engagement

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.

Qualifications – Must-Haves

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.
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.

Qualifications – Nice To Haves

Experience integrating AI-enabled capabilities or LLM APIs into software applications.
Familiarity with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar orchestration tools.
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, combining strong engineering fundamentals with thoughtful adoption of modern tools.
You leverage AI-assisted development tools and intelligent automation to improve productivity and delivery quality.
Teammates trust your engineering judgment and collaboration when designing and implementing solutions.
Clients view you as a reliable engineering partner who contributes meaningfully to solving technical challenges.
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.

Key skills/competency

Senior AI Enabled Engineer
Full-Stack Development
Backend Services
Frontend Applications
Cloud Infrastructure
AI-Enabled Development
Agile Methodologies
Client Engagement
Python
Java
React
LLM APIs

Skills & topics

Senior AI Enabled Engineer
Full-Stack Development
Backend Engineering
Frontend Development
AI Integration
LLM
Cloud Infrastructure
Agile
Consulting
Python
Java
React
NextJS
Software Engineer
Stride

How to get hired

Tailor your resume: Highlight your experience in full-stack development, AI integration, and client-facing roles, using keywords from the job description.
Showcase AI expertise: Detail your experience with AI-assisted tools, LLM APIs, and frameworks like LangChain in your application and portfolio.
Prepare for technical interviews: Brush up on backend services, APIs, frontend frameworks (React/NextJS), databases, and distributed systems.
Demonstrate collaboration: Be ready to discuss your experience in Agile environments and how you've partnered with product managers and designers.
Research Stride: Understand their AI-powered approach and how you can contribute to their client solutions.

Technical preparation

Master full-stack development: backend, frontend, APIs.,Deepen knowledge of AI tools and LLM integration.,Practice TDD and pair programming techniques.,Familiarize with cloud and database technologies.

Behavioral questions

Describe a complex problem you solved.,How do you handle project ambiguity?,Share an example of collaboration success.,How do you balance speed and quality?

Frequently asked questions

What are the core responsibilities of a Senior AI Enabled Engineer at Stride?: As a Senior AI Enabled Engineer at Stride, you will be responsible for designing, building, and delivering modern software applications across full-stack development. This includes backend services, frontend applications, and cloud infrastructure, often involving languages like Java, Python, and Go. A key aspect is leveraging AI-assisted development tools and integrating AI capabilities into applications to improve productivity and product features.
What technologies are commonly used by Senior AI Enabled Engineers at Stride?: Stride engineers work across a variety of technologies based on client needs. Commonly used backend languages include Java, Python, and Go. For frontend development, experience with React and NextJS is highly valued. Familiarity with AI-related tools and frameworks such as LangChain, LLM APIs, and Model Context Protocol (MCP) is also crucial for this role.
How does Stride incorporate AI into its engineering practices?: Stride integrates AI by using AI-assisted development tools to enhance productivity and code quality, and by incorporating AI-enabled capabilities like LLM-powered features directly into client applications. They also experiment with emerging AI technologies and agentic frameworks to improve product capabilities and engineering processes, always applying pragmatic engineering judgment.
What is the expected experience level for a Senior AI Enabled Engineer at Stride?: Stride is looking for candidates with at least 4 years of professional experience as a Software Engineer, Full-Stack Engineer, or Backend Engineer. This includes strong experience in building backend services and APIs, developing modern frontend applications with React/NextJS, working with databases, and understanding distributed systems and scalable architectures.
Is this a client-facing role at Stride?: Yes, this is a hands-on consulting role, which involves working directly with client stakeholders as part of delivery teams. You will participate in technical discussions, demos, and solution walkthroughs, requiring excellent communication skills to clearly articulate tradeoffs, risks, and implementation approaches.
What are the 'nice to have' qualifications for a Senior AI Enabled Engineer?: Nice-to-have qualifications include experience with agentic AI frameworks (LangChain, CrewAI, AutoGen), working with Model Context Protocol (MCP) or tool-integrated AI systems, designing systems using RAG or vector databases, building event-driven or microservices architectures, and prior consulting or professional services experience.

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