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junior

Backend Engineer

SPsoft
format:Remotecompany:Outsource
pythonfastapiasynciorest-apiwebsocketsllmpostgresqlmongodbredisdockergit
ragawsgoogle cloudazureci/cdtts
englishB1
experience2+ years
domainAI
> full description

SPsoft is looking for a Strong Junior Python Engineer with commercial experience in backend development and interest in AI/LLM technologies to participate in the development of a scalable AI Voice Agents platform.

The ideal candidate has a product-thinking and product-design mindset. You should be proactive and think ahead rather than wait for the next task in the pipeline. It is mandatory to be able and willing to work in a fast and intense startup environment for 200+ hours per month. In return, you will be eligible for equity and benefit from a successful startup exit.

If you’re looking for a relaxed job at a moderate pace — please do not apply.

Duties and responsibilities

  • Develop and maintain backend services using Python and FastAPI (or similar frameworks).
  • Integrate LLMs (OpenAI, Claude, Gemini, etc.) into AI-powered applications.
  • Participate in building APIs and microservices for Voice AI solutions.
  • Write clean, maintainable, and well-documented code.
  • Debug and troubleshoot application issues.
  • Collaborate closely with engineers, product managers, and AI specialists.
  • Learn and apply modern AI engineering best practices.

Required skills and experience

  • 1.5+ years of commercial Python development experience.
  • Experience with FastAPI and asynchronous programming (asyncio).
  • Understanding of REST APIs and WebSockets.
  • Experience working with LLM APIs or AI-powered applications.
  • Knowledge of database technologies such as PostgreSQL, MongoDB, or similar.
  • Understanding of Redis and message brokers such as Kafka or Pub/Sub.
  • Experience with with Docker and Git workflows
  • Strong problem-solving skills and willingness to learn quickly.
  • Intermediate+ English level.

Will be a plus

  • Experience with Retrieval-Augmented Generation (RAG).
  • Experience with cloud platforms (AWS, GCP, Azure).
  • Experience with asyncio or asynchronous programming.
  • Understanding of CI/CD pipelines.
  • Experience with speech-to-text (STT) or text-to-speech (TTS) technologies.
  • Personal AI/LLM side projects or open-source contributions.

What’s in it for you

  • You will be working as a part of our engineering team as an individual contributor, meaning that a lot will depend on you.
  • You will have to learn how to co-create and co-design the product, not just write code based on the pre-digested specifications written for you by somebody else.
  • As an end-to-end co-product designer/software engineer, you will learn to deliver more value.
  • You will develop much faster than the fractional role at one of the big “galleys.”
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