Artificial Intelligence Engineer

What if your agents didn’t just answer questions, but actually ran real production workflows for a major media organization?We’re hiring a Senior AI Engineer to design, build, and operate agentic systems that automate meaningful enterprise work using video and rich visual media. This is not a prototype role. You’ll ship production-grade AI that real teams depend on, and you’ll own it end to end.The role at a glanceContract, fully remote from LATAMUS time-zone overlapCompensation: competitive, based on experienceHands-on role: backend and AI systems first, with room to shape the user-facing productWhat you’ll doBuild agentic harnesses from scratch: tool use, multi-step chaining, reasoning, streaming, skills, multimodal integration, RAG, sandboxing, and state managementDesign and run production APIs and services (REST, streaming, async workflows), choosing between synchronous calls, queues, event-driven patterns, and background jobs based on latency, reliability, and UXOrchestrate large-scale batch workflows powered by LLMs, VLMs, and open-source modelsBuild evaluation systems: datasets, offline regression evals, online monitoring, rubric scoring, AI-as-judge, and human-in-the-loop reviewArchitect search and retrieval across lexical and embedding-based methods, tuning for relevance, ranking, recall, precision, and latencyMake clear tradeoffs between quality, reliability, latency, cost, and explainability in systems where model behavior is non-deterministicContribute to front-end experiences in JavaScript/TypeScript and React when the product needs itWhat you bring7+ years of programming experience (Python, Java, Go, or JavaScript)5+ years shipping production software in enterprise or consumer environments, not just POCs2+ years architecting and optimizing search and information retrieval systems at scale6-12 months of hands-on experience building agentic products (tool-using, conversational, long-running, or planning agents)1+ year evaluating AI systems for quality, reliability, and safety at scaleStrong grasp of ML and statistics fundamentals: sampling, significance, overfitting, precision/recallFluency with LLM controls beyond simple API calls: temperature, top-p, logprobs, confidence scoring, model selectionExperience with agent frameworks such as OpenAI Agents SDK, LangGraph, Google ADK, or SmolAgentsBS in CS, EE, or equivalent experienceStrong plusExperience with video, rich media, or multimodal AI; knowledge of digital and broadcast production workflowsOpenSearch or ElasticsearchFFmpeg, OpenCV, or similar media-processing toolsAWS (5+ years) and Azure (1+ year); Docker and Kubernetes; CI/CDWebSockets and stateful design patterns; React or AngularModel adaptation with LoRA, PEFT, or similarFamiliarity with the C4 model and Agile environmentsWhy this roleReal production impact: your agents automate workflows that matterDirect work on frontier problems: multimodal AI, agentic orchestration, evaluation at scaleFull ownership across the stack, from architecture to user experienceReady to build? Apply now, or send this to the best AI engineer you know.