Stride Consulting is an AI-powered software engineering firm delivering high-quality software and modernizing legacy systems. They seek a Lead AI-Enabled Full-Stack Engineer to design and deliver modern software solutions with AI integration.

Company: Stride Consulting

Role: Lead AI Enabled Engineer

Location: Remote

Experience:

6+ years of professional experience as a Full-Stack, Backend, or Software Engineer

Key Skills:

Full-Stack Development
Backend services and APIs
Java
Python
Ruby
React
NextJS
Relational databases
NoSQL databases
RESTful APIs
Distributed systems
Scalable architectures
Test Driven Development (TDD)
Pair Programming
Agile delivery environments
Scrum
Kanban
Agentic AI frameworks
LangChain
LangGraph
CrewAI
AutoGen
AI-assisted development tools
LLM APIs integration

Role Focus:

Design, build, test, and maintain modern software applications across backend and frontend systems
Develop scalable backend services, APIs, and integrations
Build modern frontend experiences using React, NextJS, or similar technologies
Write clean, maintainable, and well-tested code following modern engineering practices
Participate in architecture discussions, code reviews, and technical design sessions
Leverage AI-assisted coding and engineering workflows to improve productivity and quality
Integrate AI-enabled capabilities into development workflows
Experiment with emerging technologies to improve the software development lifecycle
Help teams evaluate AI capabilities to enhance software systems or workflows
Partner with Product Managers and Product Owners to refine backlogs and clarify requirements
Break down complex work into estimable user stories and technical tasks
Provide reliable estimates and contribute to sprint and release planning
Inspect and adapt through retrospectives to improve team delivery and engineering practices
Serve as a technical leader guiding architecture and implementation decisions
Collaborate 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 engagement phases
Work directly with client stakeholders to understand technical requirements and constraints
Participate in technical discussions, demos, and solution walkthroughs
Communicate tradeoffs, risks, and implementation approaches clearly
Represent engineering best practices in client-facing environments
Promote engineering standards around quality, testing, security, and performance
Contribute to internal engineering patterns, documentation, and shared components
Stay current with modern full-stack and cloud-native best practices

Additional responsibilities:

Support a culture of transparency, accountability, and continuous improvement
Leverage modern tooling, automation, and AI-assisted development to improve productivity and quality

Nice to have:

Experience building applications leveraging LLM APIs such as OpenAI, Anthropic, Azure OpenAI
Experience 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

Other:

Full time employment
Client-facing consulting role
Work across multiple programming languages and ecosystems depending on project needs
Help teams incorporate AI-enabled features, developer tooling, or automation aligned with business goals
Balance speed, quality, and maintainability in real-world delivery environments
Teams trust technical judgment and architectural guidance especially for emerging AI technologies
Clients view role as a trusted engineering partner helping improve products and workflows

Lead AI Enabled Engineer

Skills Required

Description