AI Developer

About the Role

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) Buil

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.