Lead AI engineering projects as a forward deployed engineer, translating business problems into production-ready AI solutions and guiding delivery teams.
Responsibilities
Act as a trusted advisor to customers, translating complex technical concepts into clear business value and ROI-driven outcomes
Build strong stakeholder relationships and identify new challenges and opportunities within existing accounts
Translate client problems into measurable outcomes and craft compelling proposals, demos, and solution designs
Create detailed work breakdowns, effort estimates, and deal sheets in partnership with commercial teams
Draft Statements of Work and manage scope rigorously, handling change requests and commercial implications
Lead the design, development, and production of AI safety detectors and guardrail solutions for enterprise AI applications.
Locations (3)
Guangzhou, Guangdong, China
Xi'an, Shaanxi, China
Shenzhen, Guangdong, China
Responsibilities
Design, develop and productionise AI safety detectors for enterprise AI applications
Build detector pipelines using rule‑based detection, pattern matching, NLP/ML classifiers, embedding models, LLM‑as‑a‑Judge evaluators, and hybrid detection strategies
Develop and optimise detector models and evaluation workflows, including test set creation, data labeling, fine‑tuning, model validation, threshold calibration, precision/recall optimisation, regression testing, and continuous improvement
Evaluate and integrate industry and open‑source AI safety solutions, perform build‑vs‑buy analysis, benchmarking, integration, and production readiness assessment
Lead the Dublin/EMEA Site Reliability Engineering team, driving strategic roadmap, operational excellence, and platform evolution for AI-driven workloads.
Responsibilities
Lead the Dublin/EMEA SRE team
Drive strategic roadmap and delivery of self-service platform capabilities
Direct team execution and operational readiness for AI-driven workflows
Serve as escalation point for high-ambiguity reliability problems
Oversee EMEA participation in on-call rotation
Requirements
Computer Science degree or related technical field
Nice to have: Kubernetes certifications (CKA, CKS, CKAD)
Nice to have: multi-cloud infrastructure governance
Staff Software Engineer to be a go-to technical leader for the trading platform, addressing cross-team engineering challenges to design and build systems for real-time trading, market data delivery, and brokerage integrations.
Compensation
New Hire Base Salary Range $200,000 - $250,000 annually.
This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.
Responsibilities
Design and build services and APIs that power core trading platform capabilities
Own initiatives end-to-end, from technical design through production deployment, monitoring, and iteration
Collaborate with product and design to translate user needs into scalable, maintainable technical solutions
Contribute to system architecture decisions, establishing patterns and practices that other teams can follow
Write clean, well-tested code with strong focus on reliability, performance, and operational excellence
Lead engineering teams responsible for developing, modernising and supporting digital wealth‑management capabilities used by financial institutions, investment professionals and their clients.
Responsibilities
Lead and develop a high‑performing engineering organization
Own engineering delivery for product capabilities
Provide technical leadership for complex functionalities
Drive platform modernization
Champion secure and compliant engineering practices
As a Senior Backend Engineer at Quo, you will spend a majority of your time coding, architecting, and owning moderate to complex components. Beyond your technical work, you may also lead a small team or a project. You might also spend time providing technical guidance, code reviews, and design and delivering on small/medium size projects end-to-end.
Compensation
The annual base salary range for this position is as follow, plus equity and benefits:
- SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $187,000 - $220,000 USD
- All other US Locations: $169,000 - $198,000 USD
- Canada: $172,000 - $202,000 CAD
Responsibilities
Coding, architecting, and owning moderate to complex components
Leading a small team or a project
Providing technical guidance and code reviews
Designing and delivering on small/medium size projects end-to-end
Own the riskiest parts of the backend for a healthcare benefits platform, ensuring billing, eligibility, member data, and scheduled jobs are safe and reliable.
Compensation
Compensation: $175,000 to $210,000 base, plus equity
Responsibilities
Own the core API as a Go service on Postgres
Co-own billing, eligibility, partner integration and member data changes
Manage plan configuration, enrollment, billing and Stripe subscriptions
Handle partner integrations including SFTP, card programs, SMS, vision benefits, e-prescribing and video visits
Maintain scheduled jobs for data sync and reconciliation
Lead engineering teams responsible for developing, modernising and supporting digital wealth‑management capabilities used by financial institutions, investment professionals and their clients.
Responsibilities
Lead and develop a high‑performing engineering organization
Own engineering delivery for product capabilities
Provide technical leadership for complex functionalities
Drive platform modernization
Champion secure and compliant engineering practices
Design end‑to‑end AI safety protection patterns across enterprise AI workloads, including RAG systems, coding assistants, conversational AI and agent applications
Associate Director, Software Engineering (Guardrail Platform AI Safety Track)NewHSBC · Guangzhou, China+2 more
Staff Software EngineerNewTopstep · US
Senior Backend Engineer, Benefits PlatformNewRiverHealth · Remote, US
Manager, Software EngineeringNewFIS Global · Jacksonville, US