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
BSc 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.
Requirements
Who you are
5+ years of relevant professional experience
BSc 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.
Summary
Build agentic systems for real SDLC work, designing pipelines, prompts, tools, evals, guardrails, and integrations across Jira, GitHub, Figma, and LLM providers; own internal AI tooling roadmap. Requires 5+ years of experience, BSc in CS/SE/Physics/Math or related field, and strong TypeScript/Node and/or Python with production LLM/agent experience.
Responsibilities
Own the SDLC pipeline (ticket sync to 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 roadmap, rollout, and adoption of internal AI tooling
Qualifications
5+ years of relevant professional experience; BSc 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
Education requirements
BSc degree in Computer Science, Software Engineering, Physics, Mathematics, or a related field.
Experience requirements
5+ years of relevant professional experience