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
BSc degree in Computer Science, Software Engineering, Physics, Mathematics, or a related field - Must
5+ years of experience as a Software Engineer - Must
Strong proficiency in Python, TypeScript, and Node.js - Must
Production experience with LLMs/agents, including tool calling, orchestration, context pipelines, and evaluations - Must
Ability to independently own a workstream end-to-end, from requirements through iteration, and drive adoption without direct reports
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.
