Senior AI Engineer

🕒 June 4

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

heyData

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💼 Consulting

⚖️ Legal

📋 Compliance

Consulting • Legal • Compliance

heyData is an all-in-one compliance platform that automates privacy and regulatory workflows to help companies meet GDPR, revDSG, NIS2, ISO 27001, the EU AI Act and other requirements. The product combines digital audits, vendor risk management, document management, training, and external DPO and advisory services to reduce legal and operational risk for organizations. heyData serves businesses (B2B) with a SaaS delivery model and is trusted by over 2,000 customers.

📋 Description

• Discover and define AI opportunities • Work directly with product and compliance experts to understand pain points and manual workflows • Build and ship AI-powered features • Design and implement AI features using foundation models (OpenAI, Anthropic, Mistral) • Expose AI services as clean RESTful APIs consumed by the application • Build data ingestion and transformation pipelines • Integrate AI agents and multi-step workflows • Manage the full lifecycle of every AI system built • Set up CI/CD pipelines for AI models integrated into AWS infrastructure • Monitor model quality in production • Design and run AI/ML experiments rigorously • Communicate findings to non-technical stakeholders

🎯 Requirements

• 5+ years total software engineering experience • At least 3 years specifically building and operating production AI/ML systems • Proven track record shipping LLM-powered features to real users • Hands-on experience with major foundation model APIs: OpenAI, Anthropic Claude, Mistral • Familiarity with platform abstractions like AWS Bedrock or Google Vertex AI • Production experience with RAG architectures: vector databases (Pinecone, Weaviate, pgvector), embedding model selection • Solid Python engineering: production-grade APIs and services • Comfortable building services that integrate cleanly into a microservices architecture • Experience with CI/CD for AI systems: model versioning, experiment tracking (MLflow, Weights & Biases or similar), monitoring, and automated retraining pipelines

🏖️ Benefits

• 30 vacation days • Flexible working hours • Annual training budget • Urban Sports Club membership • Germany Ticket • Company pension plan • Top equipment: MacBook & more