
201 - 500 employees
💼 Consulting
🏥 Healthcare
🏨 Hospitality
Consulting • Healthcare • Hospitality
Accellor is a company offering AI-driven solutions across various industries, focusing on enhancing efficiency and engagement through advanced applications and data strategies. Their services include leveraging artificial intelligence for enterprise applications, product engineering, and cloud services to transform industries such as healthcare, manufacturing, financial services, real estate, retail, travel, and hospitality. Accellor partners with technology leaders like Salesforce and Microsoft Dynamics 365 to deliver personalized, intelligent business applications. Committed to responsible AI practices, Accellor helps organizations harness the potential of data and AI to drive strategic decisions, automate operations, and provide superior experiences.
🔥 4 hours ago
🏄 California – Remote
💵 $70 - $80 / hour
⏳ Contract/Temporary
🟠 Senior
🤖 AI Engineer
🦅 H1B Visa Sponsor
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201 - 500 employees
💼 Consulting
🏥 Healthcare
🏨 Hospitality
Consulting • Healthcare • Hospitality
Accellor is a company offering AI-driven solutions across various industries, focusing on enhancing efficiency and engagement through advanced applications and data strategies. Their services include leveraging artificial intelligence for enterprise applications, product engineering, and cloud services to transform industries such as healthcare, manufacturing, financial services, real estate, retail, travel, and hospitality. Accellor partners with technology leaders like Salesforce and Microsoft Dynamics 365 to deliver personalized, intelligent business applications. Committed to responsible AI practices, Accellor helps organizations harness the potential of data and AI to drive strategic decisions, automate operations, and provide superior experiences.
• Design, build, and deploy production AI applications using Python and Azure • Build LLM-powered applications using prompt engineering, model integrations, tool calling, and AI workflows • Design and implement RAG solutions using embeddings, vector search, retrieval, knowledge grounding, and evaluation • Integrate AI applications with enterprise platforms, external APIs, databases, and Microsoft 365 • Build scalable backend services, APIs, data models, and application integrations • Develop agentic AI workflows using tools such as MCP and multi-agent patterns where appropriate • Partner with business and technical stakeholders to turn ambiguous requirements into production solutions • Apply engineering practices around testing, security, observability, scalability, and performance
• 5–7 years of professional software engineering experience building production applications • Strong Python development experience with backend and/or full-stack applications • Hands-on Microsoft Azure experience, including Azure-native services and enterprise integrations • Experience building production applications using LLMs, including prompt engineering and model integration • Hands-on RAG experience, including vector search, retrieval patterns, knowledge grounding, and evaluation • Experience integrating external APIs, enterprise platforms, and Microsoft 365 services • Strong database and SQL experience • Strong understanding of APIs, application architecture, and modern software engineering practices • Ability to take ambiguous business problems from concept through production deployment • Remote within the United States, with the ability to maintain meaningful overlap with Pacific Time working hours • Occasional travel may be required based on client needs • This role is not open to C2C • Preferred: Experience with Azure OpenAI, Azure AI Search, or Azure AI Foundry • Preferred: Experience with MCP, tool integrations, agentic workflows, or multi-agent architectures • Preferred: Experience with vector databases and enterprise search • Preferred: Experience with 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
• Equitable compensation • $70–80/hour rate
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