---
title: "AI Developer at Salvo Software – All Job Board"
---

# AI Developer at Salvo Software

Written by

[admin](https://alljobboard.com/author/admin/)

in

- [Remote (Remote)](https://maps.google.com/maps?q=Remote%20%28Remote%29&zoom=14&size=512x512&maptype=roadmap&sensor=false)
- Posted 1 week ago

![Salvo Software](https://alljobboard.com/wp-content/plugins/wp-job-manager/assets/images/company.png)

 **Salvo Software**

Salvo Software is a global technology company specializing in custom software development and advanced engineering solutions. With distributed teams across the US, LATAM, and India, we partner with clients to build high-performance, scalable systems that solve complex technical challenges. Our culture values innovation, ownership, and engineering excellence. We’re growing our AI department and are looking for a hands-on AI Developer to help build it.

Role Overview

We are looking for an AI Developer to join and strengthen our AI department. Your core work will be building and operating LLM-powered systems: serving open-source models with Ollama and llama.cpp, building RAG pipelines, and developing MCP integrations that connect large language models to real tools and data. Solid DevOps fundamentals – Docker, CI/CD, Azure – support this work, but AI engineering is the heart of the role.

You don’t need to be a deep ML researcher. What matters is production-grade Python, strong fundamentals, and the aptitude to learn fast. You’ll work closely with our engineering and product teams to take LLM-powered features from prototype to reliably deployed systems, with mentorship available as you ramp up in areas like RAG architecture, Kafka, and advanced MCP work.

Key Responsibilities

AI / LLM Engineering (core focus)

- Serve and operate open-source LLMs using Ollama and llama.cpp, locally and in on-prem environments.
- Build and maintain RAG pipelines: embeddings, vector databases, chunking strategies, and retrieval quality.
- Develop MCP (Model Context Protocol) integrations connecting LLMs to internal tools and data sources.
- Build backend services in Python that power ML inference and AI-driven product features.
- Parse and process structured and semi-structured data (XML/XSD, Office document formats) as pipeline inputs.
- Grow into model optimization over time: quantization (GGUF), GPU/CUDA tuning, and offline/air-gapped deployments.

DevOps & Infrastructure (supporting)

- Build and maintain CI/CD pipelines for AI services (Azure DevOps preferred; GitHub Actions / GitLab CI also used).
- Deploy AI workloads to Microsoft Azure,AWS and containerize services with Docker.
- Automate operational tasks with Python, Bash and/or PowerShell scripting.
- Troubleshoot across the stack – dig into root causes rather than patching symptoms.
- Support event-driven architectures using Apache Kafka (producers/consumers).

- 3–5+ years engineering experience with production-level Python for building real services, LLM inference, RAG pipelines, and automated tooling.
- Hands-on LLM & AI integration serving models via Ollama/llama.cpp, implementing vector retrieval/RAG, and developing MCP integrations (GPU/CUDA tuning & model quantization nice to have).
- Cloud & Infrastructure expertise covering Azure/AWS deployments, Docker containerization, Linux/Windows admin, and CI/CD automation (Azure DevOps, GitHub Actions, or GitLab CI), with Terraform, Kubernetes, Kafka, or systems languages (Go, Rust, C++) as a plus.
- DevOps, Security & Operations awareness, including Git workflows, scripting (Python, Bash, PowerShell), observability tools (Prometheus/Grafana), DevSecOps, and compliance frameworks (SOC 2, ISO 27001, Zero Trust).
- Strong problem-solving & communication with a root-cause troubleshooting mindset, self-directed learning, strong ownership, and seamless remote/distributed team collaboration.

Please mention the word \*\*BREAKTHROUGHS\*\* and tag RMjAwMTo0MWQwOjMwMzplYjJjOjo= when applying to show you read the job post completely (#RMjAwMTo0MWQwOjMwMzplYjJjOjo=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they’re human.

**Source:** this listing was published by [Remote OK](https://remoteok.com/). [View the original posting and apply](https://remoteOK.com/remote-jobs/remote-ai-developer-salvo-software-1137701) — applications are handled there, not on this site.

To apply for this job please visit [remoteOK.com](https://remoteOK.com/remote-jobs/remote-ai-developer-salvo-software-1137701).

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    "description": "<p>Salvo Software is a global technology company specializing in custom software development and advanced engineering solutions. With distributed teams across the US, LATAM, and India, we partner with clients to build high-performance, scalable systems that solve complex technical challenges. Our culture values innovation, ownership, and engineering excellence. We&#8217;re growing our AI department and are looking for a hands-on AI Developer to help build it.</p>\n<p>Role Overview</p>\n<p>We are looking for an AI Developer to join and strengthen our AI department. Your core work will be building and operating LLM-powered systems: serving open-source models with Ollama and llama.cpp, building RAG pipelines, and developing MCP integrations that connect large language models to real tools and data. Solid DevOps fundamentals &#8211; Docker, CI/CD, Azure &#8211; support this work, but AI engineering is the heart of the role.</p>\n<p>You don&#8217;t need to be a deep ML researcher. What matters is production-grade Python, strong fundamentals, and the aptitude to learn fast. You&#8217;ll work closely with our engineering and product teams to take LLM-powered features from prototype to reliably deployed systems, with mentorship available as you ramp up in areas like RAG architecture, Kafka, and advanced MCP work.</p>\n<p>Key Responsibilities</p>\n<p>AI / LLM Engineering (core focus)</p>\n<ul>\n<li>Serve and operate open-source LLMs using Ollama and llama.cpp, locally and in on-prem environments.</li>\n<li>Build and maintain RAG pipelines: embeddings, vector databases, chunking strategies, and retrieval quality.</li>\n<li>Develop MCP (Model Context Protocol) integrations connecting LLMs to internal tools and data sources.</li>\n<li>Build backend services in Python that power ML inference and AI-driven product features.</li>\n<li>Parse and process structured and semi-structured data (XML/XSD, Office document formats) as pipeline inputs.</li>\n<li>Grow into model optimization over time: quantization (GGUF), GPU/CUDA tuning, and offline/air-gapped deployments.</li>\n</ul>\n<p>DevOps &amp; Infrastructure (supporting)</p>\n<ul>\n<li>Build and maintain CI/CD pipelines for AI services (Azure DevOps preferred; GitHub Actions / GitLab CI also used).</li>\n<li>Deploy AI workloads to Microsoft Azure,AWS and containerize services with Docker.</li>\n<li>Automate operational tasks with Python, Bash and/or PowerShell scripting.</li>\n<li>Troubleshoot across the stack &#8211; dig into root causes rather than patching symptoms.</li>\n<li>Support event-driven architectures using Apache Kafka (producers/consumers).</li>\n</ul>\n<ul>\n<li>3–5+ years engineering experience with production-level Python for building real services, LLM inference, RAG pipelines, and automated tooling.</li>\n<li>Hands-on LLM &amp; AI integration serving models via Ollama/llama.cpp, implementing vector retrieval/RAG, and developing MCP integrations (GPU/CUDA tuning &amp; model quantization nice to have).</li>\n<li>Cloud &amp; Infrastructure expertise covering Azure/AWS deployments, Docker containerization, Linux/Windows admin, and CI/CD automation (Azure DevOps, GitHub Actions, or GitLab CI), with Terraform, Kubernetes, Kafka, or systems languages (Go, Rust, C++) as a plus.</li>\n<li>DevOps, Security &amp; Operations awareness, including Git workflows, scripting (Python, Bash, PowerShell), observability tools (Prometheus/Grafana), DevSecOps, and compliance frameworks (SOC 2, ISO 27001, Zero Trust).</li>\n<li>Strong problem-solving &amp; communication with a root-cause troubleshooting mindset, self-directed learning, strong ownership, and seamless remote/distributed team collaboration.</li>\n</ul>\n<p>Please mention the word **BREAKTHROUGHS** and tag RMjAwMTo0MWQwOjMwMzplYjJjOjo= when applying to show you read the job post completely (#RMjAwMTo0MWQwOjMwMzplYjJjOjo=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they&#8217;re human.</p>\n<p class=\"job-source\"><strong>Source:</strong> this listing was published by <a href=\"https://remoteok.com/\" rel=\"dofollow\">Remote OK</a>. <a href=\"https://remoteOK.com/remote-jobs/remote-ai-developer-salvo-software-1137701\" rel=\"dofollow\">View the original posting and apply</a> &mdash; applications are handled there, not on this site.</p>\n",
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