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Role Description

We are seeking an AI-Enabled 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.

• Work across multiple technologies depending on client needs—often including Java, Python, TypeScript, JavaScript, or Ruby.
• Help teams adopt modern engineering practices and, where appropriate, incorporate AI-enabled capabilities and developer tooling.

Qualifications

• 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.

Requirements

• 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.
• 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.

Benefits

• 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.

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.