United States (Remote) •United Kingdom (Remote)
Remote
Senior
Full Time
💰$170,000 - $210,000
remoteAImachine learninggenerative AIPythonAWSKubernetesFastAPIMLflowKafka
Requirements
- •Significant experience building and operating machine learning or AI systems in production, with evidence of technical leadership beyond your own projects
- •A track record of leading complex engineering initiatives across teams, from ambiguous requirements to measurable production outcomes
- •Strong Python and software engineering skills, with the ability to contribute directly to production code
- •Experience designing production services and APIs using frameworks such as FastAPI
- •Practical experience building generative AI applications using large language models, RAG, tool use, or agentic systems
- •A strong understanding of enterprise RAG systems, including retrieval architecture, chunking, embeddings, reranking, evaluation, and monitoring
- •Experience defining evaluation approaches and using evidence to guide model, architecture, and release decisions
- •Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies
- •Strong experience designing and operating cloud systems using AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices
- •Familiarity with services such as AWS SageMaker or AWS Bedrock
- •Experience with event-driven processing, vector databases, and machine learning lifecycle tools such as Kafka and MLflow, or comparable technologies
- •Experience establishing observability and diagnosing production issues using tools such as Datadog or OpenSearch
- •Sound judgement when balancing delivery speed, quality, reliability, scalability, security, and cost
- •The ability to influence technical decisions across teams and build alignment without relying on formal authority
- •Experience mentoring engineers and improving the effectiveness of the teams around you
What You'll Do
- •Shape the technical direction of Research Flow
- •Lead and deliver complex AI engineering work
- •Build scalable AI foundations
- •Set the standard for AI quality
- •Raise engineering standards across teams
- •Connect technical work to customer outcomes
Nice to Have
- •Experience working in a B2B SaaS product company
- •Experience building conversational AI, adaptive interviewing, or automated analysis and summarisation systems
- •Experience working with text, audio, or video in AI applications
- •Experience evolving shared AI infrastructure or platforms used by multiple product teams
- •Experience with orchestration tools such as Airflow or Argo Workflows
- •Familiarity with SQL, Spark, Snowflake, or other data processing technologies
- •Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention
- •Experience materially improving the latency, reliability, or cost of AI systems operating at scale
Benefits
- •5-10% bonus depending on level and performance
About Typeform
Typeform is a no-code SaaS platform offering tools that assist companies to engage with their audience and grow business.
Barcelona, Spain
500 - 1000
Marketing & Advertising