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AI Developer (LLM & RAG)

Salvo Software

New Remote
Remote Senior 🇬🇧 English
Python Azure AWS Docker CI/CD Linux Prometheus Grafana Ollama llama.cpp RAG Model Context Protocol

Job description

About the role

Salvo Software is expanding its global artificial intelligence division and is looking for an AI Developer to join its remote team. The company, which has a distributed footprint across time zones, builds high-performance custom software and scalable engineering solutions. The role focuses on developing and operating LLM-powered ecosystems: using existing open-source technology to solve real business problems, working with product teams on scalable and secure workflows, and managing applications from prototype through deployment on cloud infrastructure.

Key responsibilities

  • Build the connection between large language models and enterprise data.
  • Operate and serve open-source LLMs with tools such as Ollama and llama.cpp in various environments.
  • Design and maintain Retrieval-Augmented Generation (RAG) pipelines, including vector databases, chunking strategies and retrieval optimisation.
  • Develop Model Context Protocol (MCP) integrations so models can access internal tools and data repositories.
  • Build production-grade Python backend services supporting AI inference.
  • Manage data ingestion pipelines for complex formats such as XML, XSD and standard office documents.
  • Work with engineering teams to move features from sandbox environments to production-ready solutions.

Required profile

  • 3 to 5 years of professional software engineering experience, specifically with Python in production environments.
  • Demonstrable experience integrating LLMs, including vector retrieval and modern inference tools.
  • Ability to take ownership of work remotely, with clear communication across distributed teams.
  • Quick learner, with interest in topics such as model quantization, GGUF and GPU/CUDA tuning.

Required skills

  • Python in production environments.
  • Cloud and infrastructure knowledge, especially Azure or AWS.
  • Containerisation (Docker) and CI/CD automation.
  • DevOps practices, including Linux/Windows administration and observability tools such as Prometheus and Grafana.
  • SOC 2 or ISO 27001 awareness is beneficial.

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Published 24 minutes ago

Expires 1 month from now

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Salvo Software