We believe that constant innovation is key to staying relevant and competitive. We exist to guide innovative companies like yours throughout the transformation journey and beyond, making your organization future-proof and future-ready.

Our work spans the breadth of your enterprise — from customers to employees and operations. We simplify and optimize internal and external processes and strengthen your business potential.

We don’t use a cookie-cutter approach. Before we offer solutions, we actively listen to your questions and concerns. We conscientiously evaluate your current environment, processes, and challenges to ensure we provide you with the right mix of solutions and services.
We are uniquely focused on delivering rapid business growth through services and technology solutions that evolve how our clients interact with their customers, employees and partners. We leverage best of breed Mobile, Machine Learning, and Cloud platforms to deliver results. Fast.

With over 200 highly motivated people in 5 countries, we bring a refreshingly honest, personal and effective approach to making things happen.

Accellor

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 AzureBuild LLM-powered applications using prompt engineering, model integrations, tool calling, and AI workflowsDesign and implement RAG solutions using embeddings, vector search, retrieval, knowledge grounding, and evaluationIntegrate AI applications with enterprise platforms, external APIs, databases, and Microsoft 365Build scalable backend services, APIs, data models, and application integrationsDevelop agentic AI workflows using tools such as MCP and multi-agent patterns where appropriatePartner with business and technical stakeholders to turn ambiguous requirements into production solutionsApply strong engineering practices around testing, security, observability, scalability, and performance

Requirements

5-7 years of professional software engineering experience building production applicationsStrong Python development experience with backend and/or full-stack applicationsHands-on Microsoft Azure experience, including Azure-native services and enterprise integrationsExperience building production applications using LLMs, including prompt engineering and model integrationHands-on RAG experience, including vector search, retrieval patterns, knowledge grounding, and evaluationExperience integrating external APIs, enterprise platforms, and Microsoft 365 servicesStrong database and SQL experienceStrong understanding of APIs, application architecture, and modern software engineering practicesAbility to take ambiguous business problems from concept through production deploymentRemote 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 FoundryExperience with MCP, tool integrations, agentic workflows, or multi-agent architecturesExperience with vector databases and enterprise searchExperience with AI evaluation, observability, and monitoringExperience with CI/CD, containers, and cloud-native deploymentExperience in consulting, media and entertainment, or other complex enterprise environments

Benefits

At Accellor, we believe in equitable compensation. The rate for this position is $70-80/hour. The actual pay will depend on your skills, experience, and qualifications. The salary range is subject to change. Speak with your recruiter about any questions.

This role is not open to C2C.

Sr. AI Engineer

What the job involves