About This Opportunity
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Full source description
- 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 OverviewWe 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 ResponsibilitiesAI / 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)
- 3â5+ 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 RMTQ3LjkzLjk5LjEwMg== when applying to show you read the job post completely (#RMTQ3LjkzLjk5LjEwMg==)
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