AI Developer

🔥 0 minutes ago

🌐 Mexico, United States – Remote

🇲🇽 Mexico – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Salvo Software

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤝 B2B

☁️ SaaS

🏢 Enterprise

B2B • SaaS • Enterprise

Salvo Software is a global software development company headquartered in Vancouver, WA, with near-shoring capabilities that offer a blend of international pricing and U. S. standards. The company specializes in custom software solutions, providing services such as software product development, AI-enabled applications, blockchain development, IoT, speech recognition, web application development, and business automation. Salvo Software is dedicated to helping enterprises and startups develop strategic products through agile development processes and adaptable, affordable services. Their expertise includes UI/UX design, QA and testing, embedded firmware development, and cloud application development, supporting various industries with tailored solutions like e-commerce platforms, CRM systems, and educational resource platforms.

📋 Description

• Serve and operate open-source LLMs using Ollama and llama.cpp locally and in on-premises environments • Build and maintain RAG pipelines involving embeddings, vector databases, chunking strategies, and retrieval quality • Develop MCP integrations connecting LLMs to internal tools and data sources • Build Python backend services for ML inference and AI-driven product features • Parse and process structured and semi-structured data, including XML/XSD and Office document formats • Grow into model optimization, including GGUF quantization, GPU/CUDA tuning, and offline/air-gapped deployments • Build and maintain CI/CD pipelines for AI services • Deploy AI workloads to Microsoft Azure and AWS and containerize services with Docker • Automate operational tasks with Python, Bash, and/or PowerShell • Troubleshoot across the stack and identify root causes • Support event-driven architectures using Apache Kafka producers and consumers • Work with engineering and product teams to take LLM-powered features from prototype to reliably deployed systems

🎯 Requirements

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

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