Forward Deployed Engineer – AI Solutions Architect

🕒 Maio 27

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Embrace Software Inc

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2021

💸 Finanças

📚 Educação

Software • Finance • Education

A Embrace Software Inc. é uma empresa de investimento em negócios que se especializa em adquirir e desenvolver empresas de software de classe mundial em diversos setores industriais. Com foco em software de missão crítica, a Embrace visa agregar valor ao seu portfólio de empresas, que varia desde pequenas e médias empresas até firmas da Fortune 500. A empresa apoia seus negócios adquiridos fornecendo recursos e expertise operacional para promover o crescimento e aumentar a satisfação dos clientes.

Descrição

• Design and ship production RAG systems for enterprise customers — chunking strategy, embeddings, hybrid retrieval, reranking, query rewriting, citation grounding, the works. • Own retrieval evaluation end-to-end — define golden sets, build eval pipelines (Ragas, TruLens, LangSmith, or custom), and drive measurable quality wins (think context precision 0.65 → 0.90, not "looks good to me"). • Architect agentic systems layered on top of RAG — multi-step retrieval, tool use, MCP integrations, guardrails, output validation. • Embed directly with customer engineering teams — pair on whiteboards, write code in their repos, debug their data, present to their CTO. • Technically lead a distributed team of FDEs across time zones — set the quality bar, review architecture, mentor engineers, own customer outcomes. • Close the loop with our product org — what breaks in the field shapes what we build next.

🎯 Requisitos

• 7+ years engineering experience, with at least 2 years shipping production RAG (not POCs) at real scale. • Demonstrated depth on the parts of RAG that actually matter: Chunking strategies and the ablations you ran to choose one. • Vector DB trade-offs from real production use — Pinecone, Qdrant, Weaviate, pgvector, Vespa, OpenSearch (pick your 2–3 and have opinions). • Hybrid search, reranking (Cohere, cross-encoders, ColBERT), HyDE, query rewriting, context compression. • Retrieval and generation evaluation — you can quote real numbers from real systems you've owned. • The boring-but-critical stuff: access control, citation enforcement, freshness, multi-tenancy, cost-at-scale. • Strong Python; production experience on at least one cloud (AWS / Azure / GCP). • Hands-on with at least one agent framework — LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent. • Customer-facing presence — you can walk into a Fortune 500 architecture review and earn trust in 30 minutes. • Track record of leading engineers, not just being one.

🏖️ Benefícios

• Competitive salary commensurate with experience. • Opportunities for career advancement and professional development. • Experience collaborating with a diverse, global team within a remote work setting.