---
title: 'Senior AI Backend Engineer at Pyyne'
canonical: 'https://feeny.ai/job/senior-ai-backend-engineer-pyyne-brazil-2rvvbtak4bbc'
type: 'job'
last_seen: '2026-10-14'
---

# Senior AI Backend Engineer at Pyyne

- **Company:** Pyyne
- **Location:** Brazil
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/pyyne/b90a71b3-73ff-4900-9c05-0b62324be43f

## Job description

Senior AI Backend Engineer

## 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 Senior 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. This person role will contribute heavily to the backend of an AI-powered research tool. Successful candidates will possess strong backend engineering skills, as well as a deep knowledge of LLMs and Agentic systems. The right candidate has a strong mental model of the Generative AI space — they can speak to the technical specifications of different models and frameworks, design multi-step agent workflows, and make informed decisions about when and how to deploy LLM capabilities beyond using them as a coding assistant. Exposure to data engineering or data-adjacent work at scale is a strong indicator of success, though not a requirement.

This role carries long-term growth potential. As the project matures, the right candidate will have the opportunity to step into a lead position, taking on greater ownership of architecture decisions and team direction. This is a highly client-facing role and ideal for an experienced engineer who enjoys working with non technical stakeholders. This is a remote role!

## Key Responsibilities

- Maintain and extend backend systems for an AI-powered research and analysis platform built on Python
- Build and optimize data ingestion pipelines that pull from external sources (reviews, data warehouse) into the application layer
- Integrate LLMs and agents into existing backend workflows
- Collaborate closely with a small cross-functional team (frontend, DevOps, full-stack) to ship features end-to-end
- Ensure backend services meet production standards for reliability, performance, and data integrity

Must Have Skills Day-to-day

- Overall engineering experience (~8yrs)
- Lead-level experience in Python backend engineering (+4yrs)
- Hands on experience with RAG and GenAI
- Hands on experience with Fast API
- Hands on experience with SQL
- Previous experience in front-end development with React.js
- Proven experience translating business processes into technical requirements or solution designs, ideally in a consulting or client-facing delivery role
- Experience owning a roadmap and prioritizing competing initiatives by feasibility, ROI, and readiness
- Demonstrated stakeholder management with both technical teams and non-technical business leaders
- Experience working in structured, production environments
- Fluent English, Native or near native level

Big Picture

- Contribute to ongoing architectural decisions on a platform that spans backend, data, and AI layers
- Take end-to-end ownership of backend technical delivery with minimal oversight
- Translate client research workflows and stakeholder requirements into scalable backend solutions
- Potential and appetite to grow into a technical lead role

Nice to Have Skills:

- Demonstrated ability to work across data engineering tasks — ingestion pipelines, data warehousing, or similar — even if not a primary specialty
- Experience working in or building tools for financial services or investment environments
- Native or near-native English fluency

## About Pyyne

## Company Overview
- **One-liner**: Pyyne is an AI-native software engineering consultancy that embeds elite engineers alongside client teams to build digital products, manage cloud infrastructure, and deploy agentic AI systems.
- **Entity Type**: Private (Bootstrapped) – The company does not appear to have taken venture capital; it cites $100m ARR and self-funded, sustainable growth since founding.
- **Headquarters**: New York, New York, United States
- **Founded**: 2020
- **Founders**: Björn Rosander (CEO), Andreas Ehn (Chairman and Founding Partner)

## Core Business
- **Primary industries**: Information Technology & Services, Software Engineering, AI/ML Consulting, Cloud Infrastructure
- **Target customers**: B2B — mid-market to enterprise companies (e.g., Inveterate, energy storage firms, AI companies) needing forward-deployed engineering teams, interim CTOs, or AI enablement.
- **Mission statement**: To build what matters — combining agentic AI systems with deep human expertise to help clients ship faster, operate smarter, and scale without limits.

## Products & Services
- **Software Engineering**: Builds user-friendly digital products from ideation to operation, with a focus on scalable architecture and backend refactoring (e.g., reducing API response times from >2 seconds to ~100ms). [pyyne.com](https://www.pyyne.com/our-services)
- **Data, AI, & Agents**: Develops AI agents, data pipelines, and agentic workflows for automation; offers everything from small AI experiments to full data organization builds. [pyyne.com](https://www.pyyne.com/our-services)
- **Cloud, DevOps & Security**: Designs and configures secure, scalable cloud solutions and automates infrastructure to support rapid growth. [pyyne.com](https://www.pyyne.com/our-services)
- **Strategy & Advisory**: Steps in as interim CTOs or heads of engineering, and advises on technical due diligence and organizational change. [pyyne.com](https://www.pyyne.com/our-services)
- **AI Readiness Assessment**: A free benchmarking tool that evaluates an organization across Strategy, Data, Architecture, People, and Governance. [pyyne.com](https://www.pyyne.com/)

## Market Standing
- **Valuation**: Not disclosed (bootstrapped, no public funding rounds reported)
- **Key Metric**: $100m ARR (cited on website) [pyyne.com](https://www.pyyne.com/)
- **Headcount**: ~74–80+ employees (LinkedIn: 74, +24 YoY, +42.1% annual growth) [linkedin.com](https://www.linkedin.com/company/pyyne)
- **Notable Clients/Partners**: Inveterate (helped scale from 8,000 to 3,000,000 members under management in <2 years); one of the world’s fastest growing AI companies (undisclosed); a consumer smart energy storage company. [pyyne.com](https://www.pyyne.com/)
- **Offices**: New York (HQ), São Paulo, Stockholm, San Francisco [pyyne.com](https://www.pyyne.com/about-us)
- **Growth Signals**: 100% year-over-year growth; average employee tenure is 12+ months (high for consulting); 42% annual headcount growth; operations in 8 countries. [linkedin.com](https://www.linkedin.com/company/pyyne) [pyyne.com](https://www.pyyne.com/)

## Competitive Advantages
- **AI-native DNA**: Unlike traditional consultancies, Pyyne embeds agentic workflows and AI as a core service — not an afterthought.
- **Forward-deployed engineering model**: Engineers work directly inside client teams, blending strategic advisory with hands-on execution.
- **Proven scale outcomes**: Case studies show doubling engineering efficiency, reducing bugs in production, and 20x performance improvements.
- **Global, multi-lingual team**: Fluency in 13 languages, operations across 4 time zones (Americas, Europe), enabling 24/7 collaboration. [pyyne.com](https://www.pyyne.com/about-us)
- **Bootstrapped stability**: No VC pressure allows the firm to focus on long-term client partnerships and sustainable growth over short-term exits.

## Strategic Focus
- **Deepening AI capabilities**: AI is the company’s core differentiator — building AI agents, agentic workflows, and data pipelines is the primary growth engine.
- **Scaling the team**: Aggressively hiring senior backend engineers and AI automation engineers globally (7 open roles as of mid-2026).
- **Geographic expansion**: Continued build-out of offices in São Paulo, Stockholm, and San Francisco alongside the NYC HQ.
- **AI Readiness Assessment**: A thought-leadership tool to benchmark enterprises and drive new consulting engagements.

## Why Work Here
- **Culture**: Described as a “close-knit team of engineers and problem-solvers” focused on impact, humility, and trust. The company emphasizes developing people, not just software. [pyynedigital.teamtailor.com](https://pyynedigital.teamtailor.com/)
- **Ratings**: Employee rating of 4.3/5.0 on LinkedIn (27 reviews) — Work-Life: 4.4, Culture: 4.4, Career: 4.3, Compensation: 4.1. [linkedin.com](https://www.linkedin.com/company/pyyne)
- **Work model**: Hybrid — open roles in Stockholm are listed as “Hybrid” (other offices likely similar). Remote flexibility is implied by the global team structure.
- **Compensation**: Transparent salary ranges published — Senior Software Engineering Consultant: ~$181k/yr; Software Engineer Consultant: ~$137k/yr; Software Engineer: ~$125k/yr. [linkedin.com](https://www.linkedin.com/company/pyyne)
- **Team composition**: Highly technical (42% engineers, 26% consultants); strong seniority mix (25% senior-level staff). The firm actively hires from top consultancies and tech companies (Thoughtworks, BairesDev, Accenture).
- **Growth**: 42% YoY headcount growth signals rapid scaling and upward mobility for early joiners.
- **Notable perk**: “Engineers you love to work with” — the company prides itself on a collaborative, low-ego environment.

## Sources
1. [Pyyne Official Website](https://www.pyyne.com/)
2. [Pyyne About Us Page](https://www.pyyne.com/about-us)
3. [Pyyne Our Services Page](https://www.pyyne.com/our-services)
4. [LinkedIn Company Profile](https://www.linkedin.com/company/pyyne)
5. [Pyyne Careers Page (Teamtailor)](https://pyynedigital.teamtailor.com/)

## Other roles at Pyyne

- [Finance & People Operations Specialist](https://feeny.ai/job/finance-people-operations-specialist-pyyne-campinas-sao-paulo-7cg2xrn09g7n) — Campinas São Paulo, Brazil
- [Sr. Data Scientist](https://feeny.ai/job/sr-data-scientist-pyyne-campinas-sao-paulo-j82kt9dp2spd) — Campinas São Paulo, Brazil
- [Software Engineer (Python)](https://feeny.ai/job/software-engineer-python-pyyne-brazil-xd54h4jnktd8) — Brazil
- [Controller](https://feeny.ai/job/controller-pyyne-new-york-bbwc7swr2xj6) — New York, NY
- [Data Scientist](https://feeny.ai/job/data-scientist-pyyne-brazil-bn5gn58kczeg) — Brazil
- [Senior AI Backend Engineer](https://feeny.ai/job/senior-ai-backend-engineer-klarity-san-francisco-5bz12zc5zjq9) — San Francisco, CA