
1 - 10 funcionários
Fundada em 2011
🛍️ Comércio Eletrônico
eCommerce • Digital Analytics • Training
A Optimal Ways é uma agência especializada em análises digitais e otimização para eCommerce. Com sede em Paris e Lille, a empresa foca na melhoria da qualidade dos dados, análise do percurso dos clientes e otimização das taxas de conversão em sites e aplicativos de eCommerce. Com uma equipe de especialistas em análises digitais, fornece apoio estratégico e treinamento para equipes de eCommerce, ajudando-as a maximizar seu desempenho e usar os dados de forma eficaz. A Optimal Ways é comprometida com o eCommerce sustentável e é reconhecida por suas práticas comerciais responsáveis através da certificação B Corp.
🕒 Setembro 17, 2025
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $170.000 - $200.000 / ano
⏰ Tempo Integral
🟠 Sênior
🤖 Engenheiro de IA
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1 - 10 funcionários
Fundada em 2011
🛍️ Comércio Eletrônico
eCommerce • Digital Analytics • Training
A Optimal Ways é uma agência especializada em análises digitais e otimização para eCommerce. Com sede em Paris e Lille, a empresa foca na melhoria da qualidade dos dados, análise do percurso dos clientes e otimização das taxas de conversão em sites e aplicativos de eCommerce. Com uma equipe de especialistas em análises digitais, fornece apoio estratégico e treinamento para equipes de eCommerce, ajudando-as a maximizar seu desempenho e usar os dados de forma eficaz. A Optimal Ways é comprometida com o eCommerce sustentável e é reconhecida por suas práticas comerciais responsáveis através da certificação B Corp.
• Lead the 0→1 buildout and 1→n scaling of AI capabilities at Optimal Dynamics; set direction and establish engineering standards. • Own RAG initiatives end-to-end from problem framing and data readiness through prototyping, iteration, and production launch. • Establish foundational components and practices for document processing, indexing, retrieval, orchestration, and evaluation. • Select tools and approaches that balance quality, cost, and speed. • Build reliable services and APIs that are observable, secure, and designed for scale in a cloud environment. • Define success metrics (quality, latency, cost, safety) and drive continuous improvement via experimentation and data-driven decisions. • Create durable team assets (playbooks, test harnesses, checklists, and documentation) to make RAG development repeatable across products. • Collaborate cross-functionally with Product, Data/ML, Engineering, and GTM to translate ambiguous needs into shippable capabilities with clear business impact. • Mentor teammates and contribute to a strong engineering culture around AI systems and responsible deployment. • Make key architecture and tooling choices and evolve them as the team learns.
• 4+ years of proven industry experience building and operating backend, platform, or data services at production scale • Bachelor's degree in Computer Science, Electrical Engineering, Operations Research, or Mathematics/Physics • Proven track record delivering data or ML-powered features end-to-end (Discovery/Prototyping > Launch > Iteration) • Python Proficiency - you write well-tested & maintainable code. • API design expertise and experience with cloud services (preferably AWS) • Familiarity with information retrieval concepts and grounding AI systems in trustworthy data. • Comfort setting technical direction, selecting tools, and establishing engineering best practices for AI-focused builds. • Senior, hands-on engineer who can take a fuzzy problem from discovery to reliable production outcomes. • Pragmatic: balance quality, cost, speed, and risk to ship value iteratively. • Communicative: ability to align stakeholders and translate complex technical ideas into clear decisions. • Operational Owner: cares about reliability, observability, and measurable impact on customers and the business. • Nice to have: Experience introducing retrieval-augmented or knowledge-grounded AI capabilities in a product or platform context. • Nice to have: Exposure to evaluation methodologies for AI systems (quality, latency, cost, safety) and running experiments/A-B tests. • Nice to have: Background working with unstructured data pipelines, indexing, and search, whether homegrown or via managed services. • Nice to have: Experience mentoring engineers, uplifting practices, and creating reusable playbooks and templates. • Nice to have: Experience in the transportation, logistics, or broader supply chain industry. • Nice to have: Customer-facing collaboration comfort: gathering requirements, scoping MVPs, and measuring ROI post-launch.
• Competitive compensation, including Series C level equity • Health / Dental / Vision 100% covered for employee and 50% for dependents • Life Insurance, with optional supplemental insurance • Flexible Spending Account (FSA) • Health Spending Account (HSA) • 401(k) with match • Unlimited PTO (vacation, personal days, sick days, jury duty, military leave, bereavement) • 11 Holidays • Paid Parental Leave for all employees • Short-term and Long-term Disability Insurances, and AD&D Insurance • Fitness membership reimbursement • Commuter benefits
Candidatar-se🕒 Setembro 1, 2025
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