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 AI Solutions Engineer to design and build production-grade AI solutions.
What You’ll Do- Design, build, and deploy production-grade enterprise AI solutions using Glean and Python.
- Configure, extend, and integrate Glean AI to create intelligent enterprise search, knowledge discovery, and AI-powered experiences.
- 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.
- Connect Glean and AI applications with enterprise platforms, external APIs, databases, and knowledge sources.
- Build scalable backend services, APIs, data models, connectors, and application integrations.
- Develop agentic AI workflows using tools such as MCP and multi-agent patterns where appropriate.
- Partner directly with business and technical stakeholders to understand use cases, translate ambiguous requirements, and design practical AI solutions.
- Apply strong engineering practices around testing, security, observability, scalability, and performance.
Requirements
- 5+ years of professional software engineering, solutions engineering, or AI application development experience.
- Hands-on experience implementing, configuring, integrating, or developing solutions with Glean AI.
- Strong hands-on Python development experience.
- Experience developing production applications using LLMs and generative AI.
- Experience designing and implementing RAG architectures, enterprise search, vector search, embeddings, and knowledge retrieval.
- Experience integrating AI solutions with APIs, databases, enterprise applications, and knowledge sources.
- Understanding of agentic AI concepts, including tool calling, MCP, and multi-agent workflows.
- Strong software engineering fundamentals, including APIs, testing, security, scalability, and production support.
- Strong communication and problem-solving skills with the ability to work directly with business and technical stakeholders.
Benefits
At Accellor, we believe in equitable compensation. The salary for this position is $200,000-225,000. 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.
Skills Required
- 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
- 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
What We Do
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.
