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





What you bring
- 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 Open AI Agents SDK, Lang Graph, Google ADK, or Smol Agents
- BS in CS, EE, or equivalent experience
- Experience with video, rich media, or multimodal AI; knowledge of digital and broadcast production workflows
- Open Search or Elasticsearch
- FFmpeg, Open CV, or similar media‑processing tools
- AWS (5+ years) and Azure (1+ year); Docker and Kubernetes; CI/CD
- Web Sockets and stateful design patterns; React or Angular
- Model adaptation with Lo RA, 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

📌 Artificial Intelligence Engineer (México)
🏢 Synergy Business Consulting
📍 México