Senior Applied AI Engineer

🕒 Agosto 14

🌐 Estados Unidos, Canadá – Remoto

🇺🇸 Estados Unidos – Remoto (EUA) 🇨🇦 Canadá – Remoto

💵 $160.000 - $190.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Tango

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🏗️ Construção

📦 Logística

💼 Consultoria

Construction • Logistics • Consulting

A Tango é uma empresa de software conectada que oferece uma plataforma de inteligência para gestão de imóveis comerciais ao longo de todo o ciclo de vida da propriedade. Seus produtos SaaS apoiam a seleção de locais, estratégia de portfólio, gestão de locação e transações, projetos e manutenção, otimização do local de trabalho e energia e sustentabilidade, utilizando análises preditivas e IA para fornecer insights acionáveis. A Tango atende empresas, varejistas, proprietários e instalações governamentais/educacionais para reduzir custos, melhorar a utilização e simplificar a divulgação de ESG.

Descrição

• Build and ship Tango’s first AI-powered product • Design, build, and ship production AI agents on LangGraph • Own agents end to end, including graph design, tool definitions, prompt and context engineering, durable execution, failure and retry behavior, and cost and latency budgets • Build agent tooling against internal systems over MCP, using direct API calls and agent-to-agent interfaces where appropriate • Deliver human-in-the-loop review flows with interrupt points, confidence surfacing, and correction paths • Build and tune retrieval covering chunking, hybrid retrieval, grounding, and citations back to source page and paragraph • Contribute golden datasets, LLM-as-judge and deterministic scorers, and CI regression suites • Diagnose quality failures and correct the appropriate layer • Own agent-level safety behavior, including prompt-injection resistance, PII handling, refusal, and escalation paths • Partner with Product to translate accuracy thresholds, confidence disclosure, and human-in-the-loop triggers into shipped behavior • Work with Platform Engineering on deployment and Data Platform on curated datasets • Feed agent session and usage analytics into the warehouse • Transition reference agents to domain teams and contribute to the shared agent quality standard

🎯 Requisitos

• 7+ years of professional software engineering experience • 2+ years building LLM-powered systems that reached production and real users • Strong expertise with Python and its service stack, including FastAPI, Pydantic, or equivalents • Engineering discipline in testing, code review, CI/CD, and production ownership • Production experience with an agent orchestration framework • Hands-on depth with at least one frontier model API • Hands-on experience with LLM evaluation, including golden datasets, LLM-as-judge, deterministic scorers, regression testing, and release gating • Experience with MCP tool servers or comparable tool and function-calling protocols • Experience with multi-agent patterns • Production RAG and retrieval experience, including chunking strategy, hybrid retrieval, grounding, citation, and diagnosing retrieval failures • Experience with LLM observability and tracing, such as LangSmith, Langfuse, Arize, or equivalent • Experience with prompt and version management • Sound judgment about hallucination, prompt injection, silent degradation, and acceptable versus unacceptable failures • LangGraph strongly preferred; LangChain, OpenAI or Claude Agents SDKs, or equivalent frameworks considered • Preferred experience with graph-backed agent memory or knowledge graphs • Preferred experience with production vector and hybrid retrieval stores • Preferred experience with async task orchestration for long-running document pipelines • Preferred experience with document intelligence and information extraction at scale, including OCR, layout-aware parsing, and structured extraction from long documents • Applicants must be authorized to work in the U.S. for any employer • Tango cannot sponsor employment-based visas at this time

🏖️ Benefícios

• Health, dental, and vision insurance • 401(k) plan with company match • Generous paid time off • Fully remote work arrangement • Inclusive and collaborative culture • Competitive compensation