Senior Forward Deployed AI Engineer (Anthropic)

Our team is looking for Senior Deployed AI Engineers specialized in the Anthropic (Claude) ecosystem: embedded with clients, taking AI products from idea to production.

In this role, you'll design and build the interfaces, services, and agentic systems at the heart of our work: conversational apps, agents automating workflows, and the pipelines supporting them. You own components end to end: front end, service, data, deployment, evals.

Build Full-Stack AI Applications, End to End

• Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
• Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
• Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
• Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Go Deep on the Anthropic Platform

• Build agentic systems with the Claude API and Agent SDK: tool use, extended thinking, prompt caching, citations.
• Deploy cloud-hosted agents with Claude Managed Agents: sandboxed execution, memory, checkpointing, orchestration, tracing.
• Build MCP servers/clients connecting Claude to enterprise systems.
• Make Claude Code core to delivery — skills, subagents, hooks.
• Deploy Claude via the API, Vertex AI, or Bedrock, choosing Opus/Sonnet/Haiku per trade-off.
• Track Anthropic's releases and translate capabilities into value.

Make AI Systems Production-Grade

• Write evals and regression tests; monitor cost, latency, quality.
• Apply solid practice: version control, review, testing, CI/CD, observability.
• Deploy on GCP/Azure/AWS using containers, serverless, infra-as-code.
• Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

• Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
• Communicate progress, trade-offs, and blockers to clients and leads.
• Support pre-sales: scope solutions, build demos, estimate effort.
• Mentor engineers; contribute to accelerators and standards.

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