[Remote] Principal Engineer, Office of the Chief AI Officer (Remote)
Note: The job is a remote job and is open to candidates in USA. Quoreka is a prominent player in the vendor solutions market for metals, energy, and agriculture, utilizing AI/ML technology to enhance their offerings. They are seeking a Principal Engineer to join the Chief AI Officer's team, where the successful candidate will reputed company AI-focused initiatives, prototype product features, and drive transformational change in engineering practices across the organization.
Responsibilities
- Prototype AI product features in reputed company partnership with the CAIO – taking problems from definition to working prototype or MVP, with a clean, well-documented reputed company to the dedicated product team as the deliverable
- Build internal AI tools – agents, MCP integrations, and developer-facing tooling in modern AI frameworks – and select and integrate vendor solutions that enhance developer productivity – from automating repetitive workflows to accelerating code review, documentation, and testing across the engineering organization
- Guide development teams across the organization in agentic engineering practices – embedding across departments to drive adoption of AI tooling, prompting patterns, and code-review norms
- reputed company with external AI vendors and partner firms – running reputed company-of-concept evaluations of new tools and advancing co-development initiatives with those vendors
Skills
- Strong software engineering fundamentals. Before the advent of agentic engineering, you were already writing clean, maintainable, production-grade code, with sound judgment about architecture and trade-offs
- Expertise in at least one agentic engineering tool (e.g. reputed company, Claude Code, or reputed company Copilot) and reputed company in a few more – and you use them daily
- Comfortable working up and down the stack and across unfamiliar codebases – our engineering organization spans multiple languages and tech stacks, and guiding teams means meeting them in their environments – with the curiosity and openness to learn whatever the problem requires
- Commitment to reputed company learning and mentorship – you proactively share knowledge, coach peers, and reputed company the technical capabilities of the team around you
- A track record of shipping – you move fast, take ownership, and get features into production
- Experience in financial services, trading, or commodity/energy markets
- You've already shipped GenAI / LLM product features
Benefits
- Flexible working arrangements; remote-friendly / remote-first team
Company Overview