Senior Deployed AI Engineer – OpenAI

The role

You will design and build full-stack AI applications, agentic systems, and RAG pipelines. You will work embedded with clients to take AI products from idea to production using the OpenAI ecosystem.

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 protocols such as MCP.
• Design and build agentic systems on the OpenAI platform.
• Build, deploy, and optimize enterprise agents and workflow automations.
• Deliver on Azure OpenAI including security, networking, and quota management.
• Write evaluation suites and regression tests for LLM-powered features.
• Deploy on cloud infrastructure using containers, serverless, and infrastructure-as-code.
• Communicate progress, trade-offs, and blockers to clients and project leads.

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.
• Strong hands-on experience with the OpenAI ecosystem: Responses API or Agents SDK, function calling, and prompt engineering.
• 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.
• Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
• Experience building and maintaining data pipelines.
• Professional English proficiency (C1/C2 minimum).

Nice to have

• Azure experience
• Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
• Experience with Terraform or CI/CD pipelines.
• Experience with realtime/voice APIs, multimodal applications, or fine-tuning at scale.

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

• Expect to obtain the closest available OpenAI credential within your first 2 months in the role if a formal credential is not yet available.

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. They sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation.