Staff Engineer

Our requirements

• 10+ years of experience in software engineering, including significant experience building and operating production systems.
• Proven experience building and deploying AI/ML systems in production.
• Strong hands-on experience with LLMs, RAG, Prompt Engineering, model evaluation, Agentic AI, and LLMOps.
• Strong technical leadership experience: setting technical direction, making architectural decisions, mentoring engineers, and influencing engineering practices.
• Deep expertise in Node.js or Python, with solid experience in the other.
• Strong full-stack engineering background, including experience with React.
• Experience building cloud-native systems on AWS.
• Practical knowledge of serverless and event-driven architecture, including AWS Lambda.
• Strong understanding of production-grade engineering standards, including scalability, maintainability, observability, and reliability.
• Ability to make pragmatic technical decisions and balance speed, quality, risk, and long-term maintainability.
• Experience working in environments where compliance, auditability, security, and responsible software delivery are important.
• Strong communication skills and the ability to influence technical and non-technical stakeholders.
• Fluency in Polish and advanced English communication skills, with the ability to take a stand and be held accountable for technical decisions.

Optional

• Experience in FinTech, financial services, or another regulated industry.
• Experience with FCA-regulated environments or similar compliance-heavy domains.
• Experience contributing to architecture review boards or technical governance forums.
• Experience building AI platforms, shared AI capabilities, or reusable AI engineering patterns.
• Experience introducing AI coding tools and AI-assisted development practices across engineering teams.
• Background in responsible AI, AI governance, auditability, or model risk management.

Your responsibilities

• Set the technical direction for the squad, owning architectural decisions, technical risk, and engineering quality.
• Act as a technical co-leader alongside the Engineering Manager.
• Lead the development of AI-powered product features based on LLMs, RAG pipelines, and agentic workflows.
• Design and deliver scalable AI systems running in production on a cloud-native AWS environment.
• Drive the adoption of AI coding tools across the full software development lifecycle — from planning and design to code review, testing, and deployment.
• Deliver production-grade code across the full stack, including Node.js or Python backends and React frontend components where needed.
• Build and maintain serverless, event-driven systems using AWS services such as Lambda.
• Mentor and support engineers across AI, backend, frontend, and cloud-native engineering domains.
• Review code, contribute to technical design documents, and promote strong engineering practices across the squad.
• Collaborate with platform teams to reuse shared capabilities and contribute reusable technical patterns.
• Represent the engineering perspective in architecture discussions and technical review forums.
• Ensure all solutions are compliant-by-design, auditable, secure, and suitable for regulated financial services environments.
• Evaluate emerging AI tools, frameworks, and engineering practices, recommending adoption where they create real value.

About the project

This is how we organize our work

What we offer

• Stable, long-term, full-time collaboration.
• Remote work within Poland and flexible working hours.
• High engineering culture with a focus on growth and learning.
• Multinational teams.
• Benefits: Private medical care, Multisport card, and workation (work for a week from Barcelona or elsewhere).

Benefits

• sharing the costs of sports activities
• private medical care
• remote work opportunities
• integration events

Rite NRG sp. z o.o.