Senior AI Engineer

Job not on LinkedIn

🕒 March 27

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 53%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Stride

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

Consulting

Stride is a strategic partner in driving technological transformation through innovative software development and consulting services. The company's expertise includes Agile software development, generative AI, and a variety of programming languages and methodologies, such as React. js, Ruby on Rails, and Python. With a focus on collaboration and transparency, Stride aims to exceed client expectations while upskilling teams to meet future challenges.

📋 Description

• 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.

🎯 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. • 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.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities