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Role Description

We are seeking an AI-Enabled Lead Full-Stack Engineer to design, build, and deliver modern software solutions across backend systems, frontend applications, and cloud infrastructure. This is a hands-on, client-facing consulting role where you will collaborate closely with Product Managers, Designers, and Engineers to deliver scalable, maintainable systems that solve real business problems.

• 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.

• Leverage modern development tooling, including AI-assisted coding and engineering workflows, to improve productivity and quality.
• Integrate AI-enabled capabilities into development workflows when appropriate, such as adoption of agent tools or automated documentation.
• Experiment with emerging technologies to improve the software development lifecycle.
• Help teams evaluate where AI capabilities can enhance software systems or development workflows.

• 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.
• Inspect and adapt through retrospectives, continuously improving team delivery and engineering practices.
• Support a culture of transparency, accountability, and continuous improvement.

• Serve as a technical leader on delivery teams, helping guide architecture and implementation decisions.
• Collaborate closely 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 phases of engagements.

• Work directly with client stakeholders to understand technical requirements and constraints.
• Participate in technical discussions, demos, and solution walkthroughs.
• Communicate clearly about tradeoffs, risks, and implementation approaches.
• Represent engineering best practices in client-facing environments.

• Promote engineering standards around quality, testing, security, and performance.
• Leverage modern tooling, automation, and AI-assisted development to improve productivity and quality.
• Contribute to internal engineering patterns, documentation, and shared components.
• Stay current with modern full-stack and cloud-native best practices.

Qualifications

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

Requirements

• Experience building applications that leverage LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.).
• 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.
• You effectively leverage AI-assisted development tools and intelligent automation to improve engineering productivity and delivery quality.
• Teams trust your technical judgment and architectural guidance, particularly when evaluating where emerging technologies such as LLM integrations or agentic tooling can create real value.
• Clients view you as a trusted engineering partner—not just an implementer, helping them understand how modern software practices and AI-enabled capabilities can improve their products and engineering workflows.
• 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.