Conduct system design and simulations for railway communication control systems at Sogeclair. Collaborate with teams to ensure compliance with technical requirements and customer expectations.
About the role
- Senior Staff Engineer at Mozilla leading architectural design for next-gen AI agent frameworks and workflows. Focused on building and scaling autonomous capabilities in a remote role within a fast-paced team.
Responsibilities
- Design and deploy production-grade multi-agent frameworks, complex orchestration layers, and custom AI developer tooling.
- Navigate the tension between rapid prototyping and long-term sustainability, knowing exactly when to cut corners to validate a concept and when to slow down to lay rock-solid architectural foundations.
- Navigate and integrate various commercial and open-source large language models, selecting and optimizing the right models for specific agentic behaviors.
- Lead by example by extensively leveraging advanced AI coding tools to maximize velocity, while establishing best practices for AI-assisted engineering across the team.
- Implement rigorous frameworks for benchmarking, prompt engineering, and evaluating agent reliability, latency, and accuracy.
- Set engineering standards for code quality and system performance, mentoring other engineers and acting as a primary bridge between research and product.
Requirements
- 7+ years of professional software engineering experience, particularly in fast-paced environments where you've shipped complex systems from scratch.
- A proven ability to judge technical debt. You know how to ship an MVP in days, but you also know how to design a clean API boundary so that early speed doesn't block future scale.
- 2+ years of direct, hands-on production experience specifically building autonomous workflows, custom tools, and agentic systems.
- Deep familiarity with diverse LLMs and orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, or similar tools).
- Prior early-stage startup experience, meaning you are comfortable with ambiguity, pivot quickly based on data, and focus heavily on execution.
- Deep, everyday proficiency building software with advanced AI coding tools (such as Cursor, Copilot, or custom LLM extensions) to radically speed up delivery.
- Comfort writing clean, high-performance code in languages like Python or Go, with a solid grasp of distributed backend systems.
Benefits
- Generous performance-based bonus plans to all eligible employees – we share in our success as one team
- Rich medical, dental, and vision coverage
- Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
- Quarterly all-company wellness days where everyone takes a pause together
- Country-specific holidays plus a day off for your birthday
- One-time home-office stipend
- Annual professional development budget
- Quarterly well-being stipend
- Considerable paid parental leave
- Employee referral bonus program
- Other benefits (life/AD&D, disability, EAP, etc. – varies by country)
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Senior Systems Engineer (Systems Delivery)
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