Senior AI Engineer

🔥 12 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Typeform

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

📣 Marketing

💼 Consulting

🏥 Healthcare

Marketing • Consulting • Healthcare

Typeform is a versatile online form builder that enables businesses to create forms, surveys, and quizzes that are engaging and easy to use. With a focus on delivering a superior user experience, Typeform designs forms that break the mold by using branded designs, video content, and dynamic questioning that adapts based on previous answers. Ideal for B2B marketers, Typeform not only facilitates data collection but also offers AI analysis to derive insights from customer data, helping businesses make more informed decisions. Typeform integrates seamlessly with numerous apps, providing robust and dynamic solutions for marketing, research, human resources, and customer success teams.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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