> Markdown version of [/jobs/ext/4544233-senior-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/4544233-senior-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI ML Engineer - **Company:** Northern Base - **Location:** Irving, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Continuous Delivery, Monitoring of Systems, Python (Programming Language), Machine Learning, Search Technologies, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Llamaindex, Agentic-AI, Fastapi, Containerization, Kubernetes, Information Technology, Low Latency, Machine Learning Operations, Drift Detection, Api Design, Artificial Intelligence Markup Language (AIML), Docker, Databricks - **Published:** November 3, 2026 - **Apply:** https://www.thejobnetwork.com/job/798388da-9d2f-4e97-8c08-90617a094f18/senior-ai-ml-engineer ## About the Role 8-20 years of experience in AI/ML Engineering, Applied AI, and Production AI Systems Strong hands-on experience with Databricks and Azure AI Foundry (Must-Have) Expertise in Machine Learning Engineering, Production ML Deployment, and end-to-end AI solution development Experience building LLM-powered RAG (Retrieval-Augmented Generation) and Agentic AI systems Strong proficiency in Python for AI/ML application development Hands-on experience with FastAPI, MLflow, model serving frameworks, and API development Experience with Vector Databases, Embeddings, and semantic search architectures Strong knowledge of LangChain, LlamaIndex, or similar AI orchestration frameworks Experience implementing CI/CD, containerization (Docker/Kubernetes), and cloud-based AI deployments Expertise in predictive machine learning, AI model evaluation, and agentic evaluation frameworks Experience with MLOps, model monitoring, drift detection, retraining, and AI lifecycle management (Preferred) Experience working in regulated or high-compliance environments (Preferred) Ability to translate business challenges into scalable AI solutions, KPIs, and enterprise AI architectures Experience optimizing AI systems for latency, scalability, reliability, and cost efficiency Strong mentoring, leadership, architecture design, and cross-functional collaboration skills Bachelor's degree in Computer Science or a related field