Senior AI Enabled Engineer

Summary

Stride Consulting is an AI-Powered software engineering firm focused on delivering high-quality software solutions. They are seeking a Senior AI Enabled Engineer to design, build, and deliver modern software applications while incorporating AI capabilities and collaborating with cross-functional teams.

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

Skills

• 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

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
• 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