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Mid-Level Generative AI Engineer
Sin especificarTiempo completoAI EngineeringEnterprise SoftwareDefense and Space
Develop, deploy, and maintain generative AI and LLM solutions, including RAG systems, AI agents, enterprise search, and local models in secure on-premise or air-gapped environments.
Responsabilidades
- Develop and implement AI and LLM solutions in on-premise environments.
- Deploy and operate GPU-based local AI models.
- Develop RAG solutions, AI agents, and enterprise search engines.
- Install and deploy models using Ollama, vLLM, llama.cpp, Hugging Face, or similar tools.
- Use AI-powered development tools for code generation, analysis, refactoring, testing, documentation, and process automation.
- Use collaborative AI tools for knowledge sharing, document analysis, and engineering support.
- Optimize models through prompt engineering, tool calling, quantization, and fine-tuning.
- Onboard, scan, transfer, and deploy models and packages into isolated environments.
- Monitor response times, accuracy, CPU/GPU utilization, memory consumption, and computational costs.
Requisitos
- Proven experience with Python software development.
- Experience developing backend services and REST APIs.
- Hands-on experience with LLMs and generative AI solutions.
- Experience deploying and operating local models with Ollama, vLLM, llama.cpp, or similar tools.
- Experience with Hugging Face and open-source models.
- Experience developing RAG solutions, embeddings, and vector databases.
- Experience with Linux and Docker.
- Familiarity with GPU servers, CUDA, and compute resource management.
- Experience integrating AI solutions with enterprise systems and internal data sources.
- Experience with Git and CI/CD processes.
- Experience using Claude Code or similar AI-powered development tools.
- Ability to work in secure, communication-restricted, or air-gapped environments.