Senior AI & Agentic Engineer

What We're Looking For 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 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 (LangGraph/LangChain, Google ADK, Claude Agent SDK, or OpenAI Agents SDK). • Specialization in at least one major AI platform ecosystem — Google (Gemini, Vertex AI, Gemini Enterprise), Anthropic (Claude, Managed Agents, MCP), or OpenAI (Responses API, AgentKit) — and working experience with one cloud platform (GCP, Azure, or AWS). • 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 A certification on at least one major AI platform or cloud is a strong differentiator at application. If you do not hold one yet, obtaining one within your first 2 months in the role is a requirement — Artefact sponsors the exam and gives you time to prepare. • Examples: Claude Certified Developer – Foundations (Anthropic), Google Cloud Professional Machine Learning Engineer, Google Cloud Generative AI Leader, Microsoft Azure AI Engineer Associate, or equivalent AWS credentials. Preferred Experience • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo). • Experience with Terraform or CI/CD pipelines. Key Capabilities A strong candidate will bring: • Breadth across the full stack, with depth in at least one AI platform • Owns features end to end, from interface to infrastructure • Cares about evaluation and reliability, not just the happy path • Communicates clearly 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

What You'll Do A Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production. 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: React front end, Python/Node service, RAG pipeline, and evals. This role combines breadth and depth: taking a feature from front end to cloud deployment, plus strong expertise in at least one major AI platform — Google (Gemini), Anthropic (Claude), or OpenAI. You'll have direct client exposure and support junior engineers' growth. 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. 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.