Full Stack Engineer

Fullstack AI Engineer (Generative AI / Agentic Systems) We are partnering with an innovative technology organization at the forefront of the Generative AI revolution within a complex, data-rich industry. Their growing AI team is focused on building next-generation AI applications and enhancing existing platforms with advanced LLM and agentic capabilities.They are seeking a Fullstack AI Engineer to drive the strategy, architecture, and delivery of cutting-edge AI solutions across the enterprise.What You’ll Do:AI Architecture & StrategyOwn end-to-end design of AI platforms and applicationsDefine model strategy (OpenAI, Google, small vs. large models)Design scalable systems leveraging:RAG (retrieval-augmented generation)Multi-agent frameworks & workflow orchestrationKnowledge graphs, hybrid search, and semantic cachingEvaluate and implement emerging AI technologies (LLMs, multimodal models, real-time systems)Platform DevelopmentBuild reusable AI services, SDKs, and frameworksEstablish best practices for:Prompt engineering & versioningModel evaluation and observabilityLogging, monitoring, and incident responseDevelop modular, scalable backend systems for agentic workflowsLeadership & ExecutionLead and mentor AI/ML engineers and data scientistsDrive design reviews, architecture decisions, and coding standardsPartner with product and business leaders to identify high-impact AI use casesOwn delivery of complex AI initiatives from concept through productionGovernance & OptimizationDefine evaluation frameworks (quality, safety, business impact)Ensure responsible AI practices (bias, privacy, compliance)Optimize performance and cost (model routing, caching, infrastructure design)Establish SLAs/SLOs and ensure system scalability and reliabilityWhat We’re Looking For8+ years in Software Engineering, ML Engineering, or Data Science3+ years working with Applied AI / LLM systemsProven experience in a technical leadership roleStrong expertise in:Python and/or TypeScript in production environmentsCloud-native architecture (AWS, Azure, or GCP)Distributed systems, Docker, Kubernetes, CI/CDHands-on experience with:LLM application development (prompting, tool use, multi-agent systems)RAG architectures, vector databases, and retrieval optimizationAI evaluation, monitoring, and observabilityProven ability to:Architect and scale AI systems in productionLead cross-functional initiatives and mentor teamsCommunicate complex AI concepts to technical and business stakeholdersNice to HaveExperience with coding assistants (e.g., Cursor, Codex, Windsurf)Multimodal or real-time AI applications (voice, streaming, UI agents)Exposure to AI evaluation frameworks (LangSmith, OpenAI Evals)Background in highly regulated or privacy-focused environmentsExperience shaping AI strategy or building AI capabilities at scaleWhy This RoleOpportunity to define AI strategy and architecture at scaleWork on cutting-edge agentic AI and LLM-driven systemsHigh visibility role with strong influence across product and leadership