Senior Forward Deployed AI Engineer

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🕒 Agosto 4

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TechTorch

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2021

💼 Consultoria

📦 Logística

📣 Marketing

Consulting • Logistics • Marketing

A TechTorch é uma empresa nativa de IA B2B que oferece soluções de operações de receita e transformação digital para empresas e companhias de portfólio apoiadas por private equity. Sua plataforma Beacon e agentes de IA automatizam fluxos de trabalho de receita como cotação para caixa, modernização de CRM (Salesforce, HubSpot, Dynamics), CPQ, integração de dados, analytics, faturamento/assinaturas, entre outros, para acelerar o crescimento, reduzir erros e entregar valor mensurável e rápido.

Descrição

• Own work end to end, from discovery and solution shaping through system design, build, and production deployment • Design and build data foundations, including data models, schema design, dimensional modeling, ETL/ELT pipelines, and slowly changing dimensions • Build full-stack applications using Python/FastAPI services and Next.js frontends • Use AI coding agents such as Claude Code or equivalent as a primary build accelerator • Design and build AI capabilities including RAG pipelines, agentic workflows, and LLM-in-the-loop processing • Compose AI capabilities via MCP servers, Skills, and Plugins • Orchestrate pipelines and automation using Airflow, Dagster/Prefect, Celery, or Temporal • Own CI/CD and cloud deployments on AWS and Azure • Translate ambiguous client requirements into clear designs and communicate trade-offs to technical and business audiences • Contribute reusable accelerators and technical assets to the Data Practice

🎯 Requisitos

• Genuine production depth across data engineering and full-stack development • Data modeling and schema design, including dimensional modeling, normalization trade-offs, and EDW/warehouse schema design • Hands-on production ETL/ELT experience across batch and incremental loads • Knowledge of slowly changing dimensions and change-data handling patterns • Experience with dbt, including modular SQL transformations, tests, documentation, and incremental strategies • Advanced SQL and in-depth experience with at least one modern data platform such as Snowflake or Databricks • Data quality practices including testing, validation, and lineage • 5+ years with Python as a primary language • FastAPI experience, including async REST API design, dependency injection, and testing • Modern frontend experience, ideally Next.js, including component architecture, SSR, state management, and UX • PostgreSQL schema design, query optimization, and indexing • System design and ability to architect services, boundaries, trade-offs, and scale from a blank page • Daily experience using an agentic coding tool such as Claude Code, Cursor, or comparable tools • Ability to own CI/CD and cloud deployments on AWS or Azure without heavy support • Comfortable with client-facing delivery and translating between business and engineering • Customer-first mindset • End-to-end ownership from discovery through production • Nice-to-have qualifications include Salesforce/NetSuite commercial data fluency, LangGraph or comparable agentic AI, RAG engineering, consulting or forward-deployed engineering experience, workflow orchestration, streaming data, vector databases, experiment tracking, open-source contributions, and multi-cloud or hybrid cloud exposure

🏖️ Benefícios

• Fully remote • Semi-annual team offsites, with in-person gatherings at least twice a year • High-autonomy, high-ownership work across real client problems • Access to the full modern data and AI stack • Room to grow toward data architecture, platform leadership, or AI engineering depth