Senior Deployed AI Engineer – Anthropic

The role

You will design and build full-stack AI products, including interfaces, services, and agentic systems, embedded with clients. You will use the Anthropic ecosystem to develop conversational applications, multi-step agents, and RAG pipelines.

What you will do

• Develop user-facing interfaces in TypeScript/React and backend services in Python or Node
• Implement agentic behavior including orchestration, tool calling, memory, and guardrails
• Build retrieval-augmented generation (RAG) pipelines
• Connect AI systems to enterprise data via APIs and Model Context Protocol (MCP)
• Design and build agentic systems with the Claude API and Claude Agent SDK
• Deploy Claude in enterprise environments via GCP, Vertex AI, or Amazon Bedrock
• Write evaluation suites and regression tests for LLM-powered features
• Deploy on cloud infrastructure using containers, serverless, and infrastructure-as-code
• Build and maintain data pipelines using Apache Airflow
• Communicate progress, trade-offs, and blockers to clients

Required qualifications

• 3–5 years of experience in software engineering or data engineering
• Extensive hands-on use of AI tools and LLM-based development over the past year
• Professional English proficiency (C1/C2 minimum)
• Strong hands-on experience with the Anthropic ecosystem: Claude API, Claude Agent SDK or Claude Code, and MCP
• Strong programming skills in Python and TypeScript/JavaScript
• Experience building and consuming APIs
• Experience with front-end development (React or similar) and at least one backend framework
• Hands-on experience with RAG, embeddings, and vector search
• Experience with at least one agentic framework (Claude Agent SDK, LangGraph/LangChain)
• Working experience with at least one cloud platform (GCP, AWS, or Azure)
• Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor
• Experience building and maintaining data pipelines

Nice to have

• Running Claude via Vertex AI or Amazon Bedrock
• Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo)
• Experience with Terraform or CI/CD pipelines
• Contributions to the MCP ecosystem, published MCP servers, or open-source agentic tooling

Benefits

• Meal (VR)
• Free Office (work from home or anywhere you want!)
• Gympass
• Insurance: Life, Health, and Dental
• Bi-monthly Meetings (workshops, lectures, training, and a happy hour!)
• Woba (book coworking spaces anywhere you want!)
• Semi-annual evaluations

Before you apply

• Obtaining an Anthropic certification within your first 2 months in the role is a requirement

About the company

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact. The firm sits at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation.