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 glance Contract, fully remote from LATAM US time-zone overlap Compensation: competitive, based on experience Hands-on role: backend and AI systems first, with room to shape the user-facing product What you’ll do Build agentic harnesses from scratch: tool use, multi-step chaining, reasoning, streaming, skills, multimodal integration, RAG, sandboxing, and state management Design 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 UX Orchestrate large-scale batch workflows powered by LLMs, VLMs, and open-source models Build evaluation systems: datasets, offline regression evals, online monitoring, rubric scoring, AI-as-judge, and human-in-the-loop review Architect search and retrieval across lexical and embedding-based methods, tuning for relevance, ranking, recall, precision, and latency Make clear tradeoffs between quality, reliability, latency, cost, and explainability in systems where model behavior is non-deterministic Contribute to front-end experiences in JavaScript/TypeScript and React when the product needs it What you bring 7+ years of programming experience (Python, Java, Go, or JavaScript) 5+ years shipping production software in enterprise or consumer environments, not just POCs 2+ years architecting and optimizing search and information retrieval systems at scale 6-12 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 scale Strong grasp of ML and statistics fundamentals: sampling, significance, overfitting, precision/recall Fluency with LLM controls beyond simple API calls: temperature, top-p, logprobs, confidence scoring, model selection Experience with agent frameworks such as OpenAI Agents SDK, LangGraph, Google ADK, or SmolAgents BS in CS, EE, or equivalent experience Strong plus Experience with video, rich media, or multimodal AI; knowledge of digital and broadcast production workflows OpenSearch or Elasticsearch FFmpeg, OpenCV, or similar media-processing tools AWS (5+ years) and Azure (1+ year); Docker and Kubernetes; CI/CD WebSockets and stateful design patterns; React or Angular Model adaptation with LoRA, PEFT, or similar Familiarity with the C4 model and Agile environments Why this role Real production impact: your agents automate workflows that matter Direct work on frontier problems: multimodal AI, agentic orchestration, evaluation at scale Full ownership across the stack, from architecture to user experience Ready to build? Apply now, or send this to the best AI engineer you know. … mais