Sr. AI Engineer

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at scale and unlock sustained enterprise value.  

With a proven track record of enabling Fortune 100 enterprises and global innovators, Accellor stands as a trusted partner for organizations seeking to harness the full potential of AI. Our vision is clear: to build intelligent, connected ecosystems that deliver measurable outcomes and redefine the future of enterprise transformation. 

Accellor is seeking a Senior Software Engineer – Applied AI to build production-grade AI solutions for a leading global media and entertainment organization.

You’ll work on AI initiatives across areas such as Studio Operations, Rights Management, and Finance, taking solutions from concept through production. This is a hands-on engineering role combining strong Python and Azure development with practical experience building LLM and RAG-powered applications.

• 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 strong engineering practices around testing, security, observability, scalability, and performance.

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize A...

• 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.

Preferred Requirements

• Experience with Azure OpenAI, Azure AI Search, or Azure AI Foundry.
• Experience with MCP, tool integrations, agentic workflows, or multi-agent architectures.
• Experience with vector databases and enterprise search.
• Experience with AI evaluation, observability, and monitoring.
• Experience with CI/CD, containers, and cloud-native deployment.
• Experience in consulting, media and entertainment, or other complex enterprise environments.

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at scale and unlock sustained enterprise value.  

With a proven track record of enabling Fortune 100 enterprises and global innovators, Accellor stands as a trusted partner for organizations seeking to harness the full potential of AI. Our vision is clear: to build intelligent, connected ecosystems that deliver measurable outcomes and redefine the future of enterprise transformation. 

Accellor is seeking a Senior Software Engineer – Applied AI to build production-grade AI solutions for a leading global media and entertainment organization.

You’ll work on AI initiatives across areas such as Studio Operations, Rights Management, and Finance, taking solutions from concept through production. This is a hands-on engineering role combining strong Python and Azure development with practical experience building LLM and RAG-powered applications.

• 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 strong engineering practices around testing, security, observability, scalability, and performance.

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize A...

• 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.

Preferred Requirements

• Experience with Azure OpenAI, Azure AI Search, or Azure AI Foundry.
• Experience with MCP, tool integrations, agentic workflows, or multi-agent architectures.
• Experience with vector databases and enterprise search.
• Experience with AI evaluation, observability, and monitoring.
• Experience with CI/CD, containers, and cloud-native deployment.
• Experience in consulting, media and entertainment, or other complex enterprise environments.