Senior Backend Engineer
About The Position
Pyyne is seeking a Senior Backend Engineer with Python and LLM-based systems experience to work as a consultant from its New York office. The engineer will build the backend of an AI-powered solution for a private equity client as Pyyne grows its Applied AI services. The role calls for a strong understanding of generative AI, including the technical differences between models and frameworks, the design of multi-step agent workflows, and decisions about when and how to use LLM capabilities beyond coding assistance. This is a highly client-facing role suited to an engineer who can communicate credibly and confidently with non-technical stakeholders. The position is hybrid, with three days per week in the office, and offers long-term potential to grow into technical leadership across the company.
Requirements
- At least 3 years of strong Python backend engineering experience, including FastAPI and SQL, with hands-on work in AI systems.
- Production experience building with LLMs and agentic systems, including multi-step agent workflows.
- A strong understanding of generative AI, including the ability to compare models and frameworks and determine when and how to use LLMs.
- Experience managing stakeholders across technical teams and non-technical business leaders, ideally in a client-facing or consulting role.
- Experience working in structured, production environments.
Nice To Haves
- Data engineering exposure, such as ingestion pipelines or data warehousing, even if it is not a primary specialty.
- Finance, private equity, or consulting background.
- Experience at an AI-focused company or a large technology company.
- Experience owning a roadmap and prioritizing competing initiatives based on feasibility, ROI, and readiness.
- Interest in growing into a technical lead role.
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 designing multi-step agents.
- Build and optimize data ingestion pipelines that bring external data sources into the application layer.
- Collaborate with a small cross-functional team, including frontend, DevOps, and full-stack colleagues, 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 work confidently and earn the client’s trust through clear, credible communication.
- Take ownership of backend delivery with minimal oversight and contribute to architectural decisions.
Benefits
- Hybrid working environment, with three days per week in the New York office.
- Career development opportunities in a fast-growing company.
- 401(k) with match.
- Comprehensive healthcare plan with vision and dental included.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
