Senior Deployed AI Engineer (Anthropic)
Summary
Build and deploy full-stack AI applications using Anthropic's Claude ecosystem, including agentic systems, RAG pipelines, and MCP integrations, while working embedded with clients to take AI products from idea to production.
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 client 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
At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.