Artificial Intelligence Engineer
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At a glance
Requirements
Credentials this posting asks for.
Job overview
Classiq Technologies is shaping the future of quantum computing, building AI‑native tools to automate the software development lifecycle. The role involves designing agentic systems, integrating with tools like Jira, GitHub and Figma, and driving adoption of internal AI tooling with high ownership and impact.
Skills & qualifications
Skills
Qualifications
Full job description
At Classiq Technologies, we’re shaping the future of quantum computing. Our mission is to make quantum computing practical and impactful by bridging the gap between hardware and real-world applications. Our platform enables developers and enterprises to design, optimize, and deploy quantum algorithms at scale, automating complex processes and supporting teams from beginners to experts across diverse architectures. Classiq is trusted by Fortune 500 leaders and global governments. We accelerate the quantum era with a platform that transforms bold quantum ideas into working applications. We're looking for someone to make Classiq AI-native. You'll build agentic systems that do real SDLC work, find the bottlenecks in our processes and build the AI tooling that removes them. Agentic pipelines, internal tools, whatever the work demands. High ownership and a direct say in what gets built next.
What you'll do
- Own the SDLC pipeline: ticket sync → planning → implementation → PR
- Design agentic systems: prompts, tools, evals, guardrails, human-in-the-loop approvals, cost/latency tradeoffs
- Build integrations across Jira, GitHub, Figma, and LLM providers
- Own the roadmap, rollout, and adoption of internal AI tooling
Who you are
- 5+ years of relevant professional experience
- B.Sc degree in Computer Science, Software Engineering, Physics, Mathematics, or a related field.
- Strong TypeScript/Node and/or Python
- Production LLM/agent experience: tool calling, orchestration, context pipelines, evals
- Ability to own a workstream from requirements through iteration and drive adoption without a team under you
Bonus points
- durable workflows (Restate/Temporal), React internal tools, agent tooling (Claude Code, Cursor, MCP), Kubernetes/Datadog, interest in quantum.
Stack
- TypeScript/Python, Restate, PostgreSQL, Anthropic/Bedrock/LiteLLM, Jira & GitHub APIs, AWS, Terraform.
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