[Remote] AI Full Stack Engineer

Note: The job is a remote job and is open to candidates in USA. Blue Signal is an award-winning executive search firm specializing in recruiting top-tier talent across various industry verticals and professional services. Its client is seeking an AI Full Stack Engineer to own AI-powered product development across frontend, backend, and applied AI systems, including LLMs, retrieval, APIs, reliability, and production deployment.

Responsibilities

• Own complete product slices spanning user interfaces, service logic, data flows, and AI capabilities
• Create dependable AI features that combine language models, retrieval, persistent context, and third-party services
• Shape APIs and application architecture for scalable, production-ready experiences
• Engineer responsive AI experiences that manage streaming responses, intermediate states, latency, and graceful degradation
• Build safeguards, monitoring, and recovery paths that keep model-driven workflows useful when dependencies or outputs fail
• Partner across engineering and product disciplines while remaining accountable for delivery from concept through launch
• Use production behavior, evaluation results, and operational signals to improve feature quality over time
• Work effectively with evolving requirements by turning ambiguity into practical technical plans and sound tradeoffs

Skills

• Demonstrated full-stack engineering experience with meaningful depth across both frontend and backend development
• Strong foundation in system design, API architecture, application development, and production software engineering
• Hands-on experience building with LLMs, RAG, or other AI-powered application architectures
• Ability to connect AI models with application state, contextual memory, retrieval layers, APIs, and external tools
• Track record of independently owning substantial features through design, development, deployment, and iteration
• Strong engineering judgment with the ability to make pragmatic architectural and implementation decisions when requirements are still developing
• Quality-focused approach to software development, including reliability, maintainability, testing, observability, and production performance
• Ability to succeed in a high-ownership environment where engineers are expected to bring structure to complex problems and execute with limited oversight
• Experience with technologies such as Next.js, Python, Node.js, SQL or NoSQL databases, Docker, Kubernetes, and modern AI model ecosystems is valuable

Benefits

• A remote opportunity with the ability to contribute from anywhere in the United States.
• High-impact ownership over AI-powered products and features from initial concept through production.
• Hands-on exposure to modern LLM technologies, retrieval systems, AI orchestration, and cloud-native infrastructure.
• A collaborative culture that values demonstrated engineering quality, ownership, and career progression over pedigree or recognizable company names.

Company Overview