Senior Backend Engineer

About the role

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 Sr. Backend Engineer with experience in Python and LLM-based systems to work as a consultant out of our New York 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 build the backend of an AI-powered solution for a private equity client. They have a strong mental model of the Generative AI space: they can speak to the technical differences between models and frameworks, design multi-step agent workflows, and decide when and how to use LLM capabilities beyond a coding assistant. This role is highly client-facing and suits an engineer who is credible and confident with non-technical stakeholders.

This is a hybrid role, with three days per week in the office. It carries long-term growth potential for technical leadership across the company.

KEY RESPONSIBILITIES

- Build and extend the Python backend of an AI-powered solution for a private equity client

- Integrate LLMs and agentic workflows into backend services, including multi-step agent design

- Build and optimize data ingestion pipelines that bring external data sources into the application layer

- Collaborate closely with a small cross-functional team (frontend, DevOps, full-stack) to ship features end-to-end

- Meet production standards for reliability, performance, and data integrity

- Translate business needs from non-technical stakeholders into technical designs, and explain tradeoffs clearly

- Present your work with confidence and earn the client's trust through clear, credible communication

- Take ownership of backend delivery with minimal oversight and contribute to architectural decisions

Must Have Skills:

- 3+ years of strong Python backend engineering (FastAPI, SQL), with hands-on work in AI systems

- Production experience building with LLMs and agentic systems, including multi-step agent workflows

- Strong mental model of the Generative AI space: can compare models and frameworks and decide when and how to use LLMs

- Stakeholder management with technical teams and non-technical business leaders, ideally in a client-facing or consulting role

- Experience working in structured, production environments

Nice to Have Skills:

- Data engineering exposure, such as ingestion pipelines or data warehousing, even if not a primary specialty

- Finance, private equity, or consulting background