AI Developer

Salvo Software

AI Developer designing, fine-tuning, and deploying LLMs for Salvo Software’s enterprise digital transformation solutions. Building offline RAG, MCP, backend, and GPU-optimized inference systems in air-gapped environments.

Posted 8/7/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in training and fine-tuning LLMs, implementing RAG pipelines, and optimizing machine learning workflows. Proficient in Python, Docker, and GPU optimization for efficient model deployment in offline environments.

Highest-signal resume keywords

Python DevelopmentLLM Training and Fine-TuningHugging Face Transformers & DatasetsRAG Pipeline DesignGPU Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPyTorchTensorFlowScikit-learnPandasPostgresMySQLLLM OptimizationRAG TechniquesQuantization

Soft Skills

Technical Communication

Tools & Technologies

DockerGitVLLMTGIOllamaFAISSChromaWeaviateAzure DevOpsMCP Servers

Industry Keywords

Supervised Fine-TuningData PreprocessingDocument ParsingEmbedding ModelsVector StoresHybrid SearchAir-Gapped EnvironmentsCI/CD PipelinesStructured DataSemi-Structured Data

Tech Stack

Tools & technologies

AzureCloudDockerMySQLPandasPostgresPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Train and fine-tune LLMs using supervised fine-tuning (SFT)
Work with open-source models such as LLaMA, Mistral, Qwen, and similar architectures
Build LoRA / Q-LoRA pipelines for efficient fine-tuning
Implement and optimize data preprocessing workflows, including tokenization and long-context handling
Use and extend Hugging Face Transformers & Datasets for training and inference
Parse and process structured and semi-structured data, including XML/XSD files
Implement document parsing solutions for Office formats using python-docx and OpenXML
Design and implement end-to-end RAG pipelines for document-grounded question answering and knowledge retrieval
Build and maintain vector stores and embedding pipelines using FAISS, Chroma, Weaviate, or pgvector
Optimize retrieval strategies including hybrid search, re-ranking, and chunking for domain-specific corpora
Develop and maintain MCP server integrations for LLM access to tools, APIs, and external data sources
Design agentic workflows using MCP to provide controlled, auditable access to internal systems and context
Deploy, run, and maintain models fully offline and in air-gapped environments
Perform model optimization and quantization using GGUF, GPTQ, AWQ, and bitsandbytes
Build and maintain inference systems using vLLM, TGI, and Ollama
Optimize GPU usage with CUDA, cuDNN, and VRAM-aware batching
Maintain local CI/CD pipelines for ML models without cloud dependencies
Manage local model registries, versioning, and artifacts
Ensure RAG and MCP components operate in offline and restricted-network environments
Build Python backend services for ML training and inference workflows
Work with relational and vector databases for RAG storage layers
Use Docker and Git for development and deployment pipelines
Use Azure DevOps for CI/CD, including local runners when applicable

Requirements

What you’ll need

Strong experience in Python for backend and machine learning development
Expertise with PyTorch or TensorFlow, scikit-learn, and pandas
Solid knowledge of Postgres or MySQL
Experience with Docker and Git
Hands-on experience with LLM training, fine-tuning, and optimization
Experience with Hugging Face Transformers & Datasets
Familiarity with XML/XSD and Office document parsing tools
Experience deploying models with vLLM, TGI, or Ollama
Understanding of GGUF, GPTQ, or AWQ quantization
Experience with GPU optimization and the CUDA stack
Experience building solutions for offline, on-prem, and air-gapped environments
Hands-on experience designing and implementing RAG pipelines, including embedding models, vector stores, and retrieval optimization
Experience building or integrating MCP servers
Experience with advanced RAG techniques such as HyDE or multi-hop retrieval
Experience discussing complex technical topics with technical and non-technical stakeholders

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Salvo Software Website LinkedIn All 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. AI Developer Job not on LinkedIn 🔥 2 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Azure Cloud Docker MySQL Pandas Postgres Python PyTorch Scikit-Learn Tensorflow Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Train and fine-tune LLMs using supervised fine-tuning (SFT)
Work with open-source models such as LLaMA, Mistral, Qwen, and similar architectures
Build LoRA / Q-LoRA pipelines for efficient fine-tuning
Implement and optimize data preprocessing workflows, including tokenization and long-context handling
Use and extend Hugging Face Transformers & Datasets for training and inference
Parse and process structured and semi-structured data, including XML/XSD files
Implement document parsing solutions for Office formats using python-docx and OpenXML
Design and implement end-to-end RAG pipelines for document-grounded question answering and knowledge retrieval
Build and maintain vector stores and embedding pipelines using FAISS, Chroma, Weaviate, or pgvector
Optimize retrieval strategies including hybrid search, re-ranking, and chunking for domain-specific corpora
Develop and maintain MCP server integrations for LLM access to tools, APIs, and external data sources
Design agentic workflows using MCP to provide controlled, auditable access to internal systems and context
Deploy, run, and maintain models fully offline and in air-gapped environments
Perform model optimization and quantization using GGUF, GPTQ, AWQ, and bitsandbytes
Build and maintain inference systems using vLLM, TGI, and Ollama
Optimize GPU usage with CUDA, cuDNN, and VRAM-aware batching
Maintain local CI/CD pipelines for ML models without cloud dependencies
Manage local model registries, versioning, and artifacts
Ensure RAG and MCP components operate in offline and restricted-network environments
Build Python backend services for ML training and inference workflows
Work with relational and vector databases for RAG storage layers
Use Docker and Git for development and deployment pipelines
Use Azure DevOps for CI/CD, including local runners when applicable 🎯 Requirements
Strong experience in Python for backend and machine learning development
Expertise with PyTorch or TensorFlow, scikit-learn, and pandas
Solid knowledge of Postgres or MySQL
Experience with Docker and Git
Hands-on experience with LLM training, fine-tuning, and optimization
Experience with Hugging Face Transformers & Datasets
Familiarity with XML/XSD and Office document parsing tools
Experience deploying models with vLLM, TGI, or Ollama
Understanding of GGUF, GPTQ, or AWQ quantization
Experience with GPU optimization and the CUDA stack
Experience building solutions for offline, on-prem, and air-gapped environments
Hands-on experience designing and implementing RAG pipelines, including embedding models, vector stores, and retrieval optimization
Experience building or integrating MCP servers
Experience with advanced RAG techniques such as HyDE or multi-hop retrieval
Experience discussing complex technical topics with technical and non-technical stakeholders Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Software Engineer – AI Platform Team 🔥 25 minutes ago Coinbase 1001 - 5000 💼 Consulting ₿ Crypto 💸 Finance Website LinkedIn All Job Openings Senior Software Engineer building Coinbase’s LLM Gateway, agent runtime, knowledge bases, and AI FinOps platform. Leading production AI infrastructure that scales across the cryptocurrency exchange. 🇺🇸 United States – Remote 💵 $186.1k - $218.9k / year 💰 $21.4M Post-IPO Equity on 2022-11 ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Cloud Microservices Python Rust Go Senior AI Engineer – Product 🔥 1 hour ago MeridianLink 501 - 1000 💳 Fintech 🏦 Banking ☁️ SaaS Website LinkedIn All Job Openings AI Engineer building MeridianLink financial products for credit union members and teams. Owning full-stack TypeScript features, production reliability, and AI-native engineering workflows. 🇺🇸 United States – Remote 💵 $126k - $214.9k / year 💰 $485M Post-IPO Debt on 2021-11 ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor AWS Postgres React TypeScript Lead AI Software Engineer, AI Platform – Architecture 🔥 2 hours ago G-P 1001 - 5000 💼 Consulting 🏥 Healthcare ⚖️ Legal Website LinkedIn All Job Openings Lead AI platform architecture and production systems for G-P, whose SaaS platform helps organizations build global teams. Improving engineering practices, cloud infrastructure, and AI delivery across teams. 🇺🇸 United States – Remote 💵 $180k - $225k / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer Cloud Distributed Systems Kubernetes Python TypeScript Go Software Engineer, AI/Agents 🔥 4 hours ago Seso Inc. 11 - 50 💼 Consulting 📦 Logistics 🌾 Agriculture Website LinkedIn All Job Openings AI/agents software engineer building production AI systems for Seso, which modernizes agricultural workforce hiring, payroll, and HR. Developing reliable agents and end-to-end TypeScript features. 🇺🇸 United States – Remote 💵 $160k - $220k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 🤖 AI Engineer 🚫👨‍🎓 No degree required JavaScript Node.js React TypeScript Applied AI Engineer, Agents & Automations 🔥 5 hours ago Cohere 11 - 50 🤖 Artificial Intelligence 🏢 Enterprise ☁️ SaaS Website LinkedIn All Job Openings Applied AI Engineer building reliable agent workflows and human-AI interfaces for Cohere’s North enterprise AI platform. Improving evaluations, observability, prompting, and model-assisted automations using production feedback. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs