Senior Machine Learning

Anyshift builds an AI SRE Agent powered by a deep knowledge graph of infrastructure. We believe that LLMs and AI agents need company-specific context to produce quality inferences. To meet that need, we create structured, high-quality data essential for combining LLMs and infrastructure. Over time, we build a vast, searchable knowledge base of your cloud resources and their code relationships. This context will be crucial for the future of infrastructure generation .

We’re looking for an experienced ML/AI Engineer . You’ll be working on:

(Phase
1) Building a chatbot that queries our infrastructure knowledge graph using techniques like graph RAG, simple embeddings, or text-to-Cypher approaches.

(Phase
2) Developing the building blocks of our AI SRE agent , enabling it to ingest Git Hub issues and open pull requests automatically.

In this role, you’ll get to design, prototype, and deploy solutions that transform how engineers interact with their infrastructure data. You’ll own end-to-end features—from the initial concept to production-scale deployment.

Full-time in Paris – we believe in the magic of working together in person!

Experience building AI projects (prototype to production)

Experience in SAS or a similar environment

Passionate about AI and excited by the latest technologies coming up every day

Proficiency in at least one modern programming language (e.g., Python, Java, or Go)

Experience integrating chatbots or ML pipelines with cloud services

Contributions to open-source (AI) projects

Exposure to graph databases and query languages (Cypher, Gremlin, etc.)

Join an early-stage startup with backing from top-tier investors and leaders in cloud infrastructure (backed by Docker/Datadog/Dataiku/Algolia founders).

Shape the future of AI SRE with a high-impact product that leverages the latest AI and knowledge graph innovations.

Work at the intersection of AI and Dev Ops with a small, passionate team.

If you’re excited about pioneering the future of AI-driven infrastructure management, we’d love to meet you. Send us your resume/portfolio and a few words on why you’d be a great fit.