Mid-Level Full Stack Engineer

We’re partnering with a forward-thinking technology organization building next-generation AI products in a highly data-rich environment. Their AI team is focused on scaling real-world Generative AI, LLM, and agent-based solutions across the enterprise.They are looking for a Full Stack AI Engineer who can help shape and build cutting-edge AI applications—from architecture through production.What You’ll Be Doing:Architect & Build AI SolutionsDesign and deliver scalable AI applications across front-end, back-end, and data layersWork with LLMs, RAG pipelines, and agent-based workflows (multi-agent, tool calling, orchestration)Own key technical decisions like model selection (OpenAI, Google, etc.) and system designDevelop Reusable AI PlatformsBuild shared AI services, SDKs, and reusable componentsCreate scalable patterns for copilots, agents, and AI-driven user experiencesHelp establish standards around prompting, evaluation, and observabilityLead & InfluenceProvide hands-on technical leadership and mentorship across engineering teamsGuide architecture, code quality, and best practices for production AI systemsContribute to a strong, innovative AI engineering culturePartner Cross-FunctionallyCollaborate with Product, Design, and business teams to identify high-impact AI use casesHelp shape roadmaps and bring solutions from concept to productionEnsure delivery is high-quality, scalable, and aligned to business goalsDrive AI Quality & GovernanceDefine evaluation frameworks (performance, accuracy, safety, user experience)Support responsible AI practices including bias mitigation, content safety, and data privacyOptimize Performance & CostImprove model efficiency, latency, and cost (routing, caching, etc.)Ensure reliability, scalability, and strong system performanceWhat We're Looking For:~5+ years in Software Engineering, ML Engineering, or similarHands-on experience with LLMs / Generative AI in productionStrong coding skills in Python + JavaScript/TypeScriptExperience building cloud-native systems (AWS, Azure, or GCP)Familiarity with RAG, vector databases, and AI application designExperience designing and deploying scalable, distributed systemsNice to have:Experience with agent frameworks (LangGraph, Agents SDK, etc.)Exposure to multimodal or real-time AI systemsBackground in regulated or data-sensitive environments