Senior Backend Engineer

Pyyne

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

Posted 11/2/2026full-timeNew York City • New York • United StatesSenior💰 $180,000 - $195,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python backend engineering, particularly with FastAPI and SQL, while integrating LLMs and agentic workflows into production systems. Proven ability to translate business needs into technical designs and effectively communicate with both technical and non-technical stakeholders.

Highest-signal resume keywords

Python Backend EngineeringFastAPISQLLLMs IntegrationStakeholder Management

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Hard Skills

PythonBackend EngineeringFastAPISQLData Ingestion PipelinesAI SystemsMulti-Step Agent WorkflowsGenerative AIProduction EnvironmentsArchitectural Decisions

Soft Skills

Clear CommunicationClient Trust BuildingCollaborationOwnershipProblem Solving

Industry Keywords

Private EquityAI-Powered SolutionsCross-Functional TeamProduction StandardsClient-Facing Role

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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 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
Potentially grow into technical leadership across the company

Requirements

What you’ll need

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
Willingness to work 3 days a week in person (Tuesday–Thursday) from the offices in Downtown Manhattan
Legally authorized to work in the United States
Must not require sponsorship for employment visa status, now or in the future

Benefits

Comp & perks

Hybrid working environment (3 days per week in office, New York)
Career development opportunities in a fast-growing company
401(k) with match
Comprehensive Healthcare Plan with Vision and Dental included