
Senior AI Engineer
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in California.
• Create, develop, and launch AI applications for production utilizing Python and Azure.
• Develop applications powered by LLMs through prompt engineering, model integration, tool utilization, and AI workflows.
• Design and execute RAG solutions utilizing embeddings, vector searches, retrieval methods, knowledge grounding, and assessment.
• Connect AI applications with enterprise systems, external APIs, databases, and Microsoft 365.
• Construct scalable backend services, APIs, data models, and application linkages.
• Create agentic AI workflows using tools like MCP and multi-agent patterns as needed.
• Collaborate with business and technical stakeholders to convert unclear requirements into deployable solutions.
• Implement engineering practices focused on testing, security, observability, scalability, and performance.
• 5–7 years of professional experience in software engineering focused on building production applications.
• Proficient in Python development for backend and/or full-stack applications.
• Practical experience with Microsoft Azure, including Azure-native services and enterprise integrations.
• Background in developing production applications using LLMs, including prompt engineering and model integration.
• Experience with RAG implementation, encompassing vector searches, retrieval methods, knowledge grounding, and evaluation.
• Proven ability to integrate external APIs, enterprise platforms, and Microsoft 365 services.
• Strong skills in database management and SQL.
• Comprehensive understanding of APIs, application architecture, and contemporary software engineering practices.
• Capability to navigate ambiguous business challenges from initial concept to final production deployment.
• Must be remote within the United States, with the capacity to maintain significant overlap with Pacific Time working hours.
• Occasional travel may be necessary based on client requirements.
• This position is not available for C2C arrangements.
• Preferred: Familiarity with Azure OpenAI, Azure AI Search, or Azure AI Foundry.
• Preferred: Experience with MCP, tool integrations, agentic workflows, or multi-agent architectures.
• Preferred: Knowledge of vector databases and enterprise search.
• Preferred: Background in AI evaluation, observability, and monitoring.
• Preferred: Experience with CI/CD, containers, and cloud-native deployment.
• Preferred: Experience in consulting, media and entertainment, or other complex enterprise environments.
• Fair and competitive compensation.
• Hourly rate of $70–80.
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