Senior AI Engineer

🕒 Setembro 21

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 10%

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Typeform

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2012

📣 Marketing

💼 Consultoria

🏥 Saúde

Marketing • Consulting • Healthcare

Typeform é um construtor de formulários online versátil que permite às empresas criar formulários, pesquisas e questionários envolventes e fáceis de usar. Com foco na entrega de uma experiência superior ao usuário, Typeform projeta formulários que quebram o molde utilizando designs de marca, conteúdo em vídeo e questionamentos dinâmicos que se adaptam com base em respostas anteriores. Ideal para profissionais de marketing B2B, Typeform não apenas facilita a coleta de dados, mas também oferece análise de IA para derivar insights dos dados dos clientes, auxiliando as empresas a tomarem decisões mais informadas. Typeform integra-se perfeitamente com diversos aplicativos, fornecendo soluções robustas e dinâmicas para equipes de marketing, pesquisa, recursos humanos e sucesso do cliente.

Descrição

• Design, build, and deploy generative AI capabilities across Typeform’s products, with a key contribution to Research Flow • Develop applications using large language models, RAG, vector search, and agentic systems • Build services and APIs that allow product teams to integrate AI capabilities into customer experiences • Turn prototypes into reliable production systems with clear measures of performance and quality • Explore new ways for customers to collect, understand, and act on information using AI • Design and operate machine learning services and workflows using Python, Docker, Kubernetes, and AWS • Build reliable pipelines for batch and real time processing using technologies such as Kafka and Airflow • Design solutions using vector databases to support retrieval, recommendations, personalisation, and semantic search • Use MLflow to manage experiments, model versions, registries, and deployments • Improve the reliability, performance, scalability, and cost efficiency of AI systems • Build automated evaluation pipelines and benchmarks for generative AI applications • Evaluate retrieval strategies including chunking, embeddings, context selection, and reranking • Monitor AI systems in production and create safeguards to reduce unexpected behaviour and protect customer data • Establish reusable patterns and technical standards for AI systems • Partner with Product, Engineering, Data Science, Data Engineering, and Analytics teams • Turn experiments and models into reliable production services • Communicate technical concepts, risks, and tradeoffs to technical and nontechnical partners • Contribute to technical planning and shape the direction of AI across Typeform • Share technical knowledge and support the development of other engineers

🎯 Requisitos

• At least four years of experience building and deploying machine learning or AI systems in production • Strong Python and software engineering skills • Experience building production services using Python frameworks such as FastAPI • Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems • Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies • Strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring • Experience creating automated evaluations for generative AI applications • Experience with AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices • Experience using services such as AWS SageMaker or AWS Bedrock • Experience with Kafka, vector databases, or other technologies used for real time and high dimensional data processing • Experience managing machine learning workflows using MLflow • Experience monitoring production systems with tools such as Datadog or OpenSearch • Ability to balance quality, speed, reliability, scalability, and cost when making technical decisions • Strong communication skills and experience collaborating with Product, Engineering, and Data teams • Experience working in a B2B SaaS product company is extra awesome • Experience with orchestration tools such as Airflow or Argo Workflows is extra awesome • Familiarity with SQL, Spark, Snowflake, or other data processing technologies is extra awesome • Experience building systems that combine structured data, unstructured data, and generative AI is extra awesome • Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention is extra awesome • Experience improving the latency and cost of AI systems operating at scale is extra awesome

🏖️ Benefícios

• Typeform is fully remote by design • Equal-opportunity employer • Diversity, anti-discrimination, and anti-harassment commitment