AI Software Data Engineer

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🕒 Março 24

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TechTorch

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2021

🤖 Inteligência Artificial

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

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

• As an AI Software & Data Engineer, you will design and build full-stack software systems, data platforms, and AI-powered MVPs for TechTorch clients. • Work end-to-end — from React/Next.js frontends, through backend development in Python and data pipelines, to AI model integration and deployment — owning solutions from concept through production. • Design and build full-stack applications, including frontend interfaces using React and Next.js, backend services and APIs using Python and cloud-native patterns. • Develop secure, scalable application logic that integrates with data platforms and enterprise systems. Implement CI/CD pipelines, testing, and production-readiness standards. • Collaborate closely with product, data, and AI teams to deliver cohesive user experiences. • Design, build, and maintain scalable data pipelines and ELT workflows. Model and manage data in modern data platforms (e.g., Snowflake, Redshift, BigQuery, lakehouse architectures). • Ensure data quality, performance, and lineage across structured and semi-structured data. Enable analytics, reporting, and downstream AI use cases through well-designed data foundations. • Build AI prototypes and MVPs end-to-end for clients — from data ingestion to user-facing experience. Integrate AI/ML capabilities into software and data workflows (e.g., NLP, document intelligence, classification, anomaly detection). • Leverage modern AI platforms and services such as AWS Bedrock, SageMaker, Snowflake Cortex, OpenAI. Support feature engineering, inference pipelines, and AI-enabled automation. • Ensure AI solutions are observable, explainable, and suitable for enterprise and regulated environments.

🎯 Requisitos

• 5+ years of experience across full-stack software engineering and data engineering • Strong foundation in custom software development, including: • - Frontend: React, Next.js • - Backend: Python, strong API and service design • Solid hands-on experience with data engineering: pipelines, modeling, warehouses, ELT/ETL • Practical experience building and deploying AI-powered prototypes or MVPs, not just experimentation • Proficient in Python, SQL, and modern cloud-native development practices • Experience with cloud platforms (AWS preferred; Azure or GCP acceptable) • Comfortable operating across software, data, and AI — able to wear multiple hats • Strong problem-solving skills and ability to translate business needs into technical solutions • Consulting or client-facing experience is a strong plus

🏖️ Benefícios

• A role at the intersection of full-stack software, data engineering, and applied AI • Ownership of end-to-end AI prototypes and production systems • High-impact projects with private equity firms and their portfolio companies • A global, senior team focused on delivery excellence • Flexible, remote-first working environment with high autonomy