Senior Forward Deployed AI Engineer (Anthropic)

Descripción del puesto

Required Experience 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds). Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues. Strong hands-on experience with the Anthropic ecosystem: Claude API, Claude Agent SDK or Claude Code, and MCP — ideally with experience taking at least one solution to production. Strong programming skills in Python and TypeScript/JavaScript, and 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, and with at least one agentic framework (Claude Agent SDK, LangGraph/LangChain). Working experience with at least one cloud platform (GCP, AWS, or Azure); running Claude via Vertex AI or Amazon Bedrock is a plus. Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor. Experience building and maintaining data pipelines. Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience. Certifications An Anthropic certification is a strong differentiator at application. If you do not hold one yet, obtaining it within your first 2 months in the role is a requirement — as a member of our team, Artefact will sponsor your exam and give you time to prepare. Claude Certified Developer – Foundations (Anthropic Certification Program), or a higher-level Claude Certified Architect credential. Anthropic Academy completion certificates (Claude API, MCP, Claude Code) are valued as supporting evidence. Preferred Experience 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. Key Capabilities A strong candidate will bring: Deep expertise in the Anthropic platform, combined with breadth across the full stack Owns features end to end, from interface to infrastructure Cares about evaluation and reliability, not just the happy path Communicates clearly with clients in demos, documents, and code review Client-facing mindset: understands client needs and translates business requirements into technical solutions Learns new tools and models fast, and shares what works