About Pyyne

Pyyne is a modern technology consultancy engineering the next generation of digital products and services.

At Pyyne, we believe in using technology to unlock business potential, create sustainable growth, and drive forward digital excellence. Our solutions range from advanced Software Engineering, Cloud, and Data & AI solutions.

Job Summary

Pyyne is seeking a Lead AI Backend Engineer to work as a consultant out of our South American Office. This is a high-impact role for Pyyne as we build up our Applied AI services and continue to create real business value for our clients.

A successful candidate in this role will be comfortable working with non-technical stakeholders to map current business workflows and pain points into real AI-powered solutions. They will be responsible for every step of the process, from client discovery and business analysis to building and deploying the identified solution.

This is a highly client-facing role and ideal for a great engineer who loves working with people. This is a remote role!

Key Responsibilities

• 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

• Identify realistic AI automation opportunities — and just as importantly, tell clients when AI isn't the right tool

• Prioritize a roadmap of opportunities based on feasibility, ROI, and client readiness

• Maintain trust with clients by setting honest expectations and delivering on them

Must Have Skills

• 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

Nice to Have Skills:

• Background in the Financial Services sector

Benefits

• Flexible remote-friendly working environment

• Career development opportunities in a fast-growing company.