Exciting Opportunity | Principal Full Stack AI Engineer | Remote

About the RoleWe are hiring a Principal Full Stack AI Engineer to lead the design, development, and delivery of our Generative AI platform. This is a hands-on technical leadership role — you will architect scalable AI systems, integrate LLMs into production environments, and set engineering standards for the team. You will collaborate across product, data science, and business teams to ship AI-powered solutions that create real impact.Key ResponsibilitiesDrive Generative AI vision, strategy, and platform architecture end-to-endDesign and build backend systems and APIs for AI-driven products and agentic frameworksIntegrate Large Language Models (LLMs) into scalable, production-ready applicationsEstablish reusable frameworks for model building, deployment, monitoring, and rollbackBuild guardrails, compliance rules, and approval workflows into the GenAI platformImplement monitoring, logging, tracing, and alerting across all AI systemsDefine peer review and validation processes for user-generated AI models and applicationsCreate onboarding guides, templates, and sandbox environments for developersMentor and upskill engineers; champion best practices across the teamCommunicate platform decisions and AI concepts clearly to non-technical stakeholdersRequirementsRequired Skills & Experience8+ years of professional software engineering experience in backend systems, APIs, or AI productsProficiency in Python (Django) and JavaScript / TypeScript (React)Strong understanding of REST / GraphQL APIs, backend architecture, and data modellingHands-on experience with agentic AI frameworks — LangChain, LangGraph, Semantic Kernel, or similarExperience with containerisation (Docker) and cloud platforms (GCP, Azure, or equivalent)Solid working knowledge of SQL and NoSQL databasesProven track record of leading AI projects from conception to production deploymentStrong system design skills and software engineering fundamentalsExcellent communication and stakeholder management skillsGood to HaveExperience in a product, SaaS, or consulting environmentExposure to MLOps pipelines, big data, or deep learning workflowsPrior experience building governance and compliance layers into AI systems

Apply Now