Lead Backend Engineer, AI/RAG

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🕒 May 6

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Pyyne

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🤖 Artificial Intelligence

🏢 Enterprise

🤝 B2B

Artificial Intelligence • Enterprise • B2B

Pyyne is an AI-native software firm that accelerates building and operating mission-critical software at scale. They provide end-to-end services including software engineering, cloud/DevOps and security, data and AI (including agentic workflows), and strategy/advisory (including interim CTO roles). With around 20 years of engineering experience and offices across New York, San Francisco, São Paulo, and Stockholm, Pyyne partners with enterprises to design, build, and operate scalable, secure, and AI-driven systems.

📋 Description

• Lead the end-to-end design of an AI-powered financial services solution, from architecture decisions through to production deployment • Translate financial domain requirements into scalable backend systems, ensuring compliance, data integrity, and auditability standards are met • Own technical delivery: define the solution architecture, select appropriate AI/LLM components, and drive build execution with a high degree of autonomy • Collaborate with client stakeholders to validate solution design against real business outcomes and iterate based on feedback • Run structured discovery sessions with clients to map current workflows, pain points, and manual bottlenecks • Identify realistic AI automation opportunities — and just as importantly, tell clients when AI isn't the right tool • Build business cases for automation initiatives: time saved, error reduction, cost impact • Prioritize a roadmap of opportunities based on feasibility, ROI, and client readiness • Maintain trust with clients by setting honest expectations and delivering on them

🎯 Requirements

• Senior-level experience in Python backend engineering (~6+YoE) • Strong communication skills, with both technical and non-technical stakeholders • Experience building or implementing RAG architectures • Experience working with data lakes • Experience working in structured, production environments • Fluent English, Native or near native level.

🏖️ Benefits

• Flexible remote-friendly working environment • Career development opportunities in a fast-growing company.