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Senior Backend Engineer (Platform)

Role overview

Summary

This role focuses on developing and maintaining an internal LLM agent framework, ensuring its scalability and reliability. You will collaborate with ML/NLP teams and contribute to backend services, playing a key part in a team that builds AI products for tech corporations.

Qualifications

  • 6+ years of production experience with Python.
  • At least 2 years of hands-on experience with async Python (FastAPI, aiohttp, or similar frameworks) in production.
  • Ability to debug issues across service boundaries.
  • Strong product mindset, understanding the 'why' behind requests and making technical decisions that align with product and business goals.
  • Preferred: Open to using AI tools in daily development and troubleshooting.

Responsibilities

  • Develop and maintain the internal LLM agent framework with focus on scalability, processing, and parallelism
  • Ensure system observability and reliability using metrics, tracing and monitoring tools
  • Adapt the framework for specific customer use cases and collaborate closely with ML/NLP teams
  • Design backend services using Python and modern cloud-native architecture.

Key facts

Hard skills

Other skills

  • Problem Solving
  • Adaptability
  • Collaboration

About the company

Aiphoria logo

Aiphoria

  • AI & Machine Learning

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Job description

Description

We are now expanding our team and are looking for a skilled, goal-oriented backend developer to help us grow. You'll work on services, APIs, databases, and integrations with external systems, collaborating closely with a small, hands-on, technically strong team that moves fast and makes decisions without unnecessary bureaucracy.


Requirements

  • 6+ years of production experience with Python
  • At least 2 years of hands-on experience with async Python (FastAPI, aiohttp, or similar frameworks) in production
  • Ability to debug issues across service boundaries
  • Strong product mindset, understanding the "why" behind requests and making technical decisions that align with product and business goals.
  • Able to navigate ambiguity, adapt quickly to changing priorities, and deliver results despite evolving requirements and limited upfront specifications.
  • Open to using AI tools in daily development and troubleshooting

Nice to have:

  • Experience with AI Tracing Tools like LangSmith

Responsibilities

  • Develop and maintain the internal LLM agent framework with focus on scalability, processing, and parallelism
  • Ensure system observability and reliability using metrics, tracing and monitoring tools
  • Adapt the framework for specific customer use cases and collaborate closely with ML/NLP teams
  • Build and support automated LLM evaluation pipelines
  • Design backend services using Python () and modern cloud-native architecture.

What we offer

  • The team has built award-winning AI products for tech corporations: devices, voice assistants, products that are actually in the world
  • Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment
  • High engineering bar and real ownership: the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly
  • Fast career progression: a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else
  • Startup pace with enterprise stability: real clients, real revenue, no bureaucracy
  • Fully remote across Europe
  • 21 vacation days + public holidays + 5 sick days
  • Private English lessons via Preply
  • Company-paid subscriptions to top AI tools (ChatGPT, Claude, Cursor, and others)

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