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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Development Manager - **Company:** OpenKyber LLC - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Access, Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, JIRA, User Authentication, Microsoft Azure, Information Systems, Computer Programming, Human Resources Information System (HRIS), Monitoring of Systems, Issue Tracking Systems, Python (Programming Language), Machine Learning, Salesforce.Com, Microsoft SharePoint, Software Deployment, Software Engineering, Systems Integration, Enterprise Search, Microsoft Power Automate, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Backend, AI Platforms, Uipath, Information Technology, Slack, Enterprise Integration, Machine Learning Operations, Virtual Agents, Restful APIs, GPT, Software Version Control, Api Management, Workday, Servicenow, Microservices - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8be5deccf286aae0 ## About the Role JOB OVERVIEW: We are looking for an Enterprise AI Engineer to design, build, and deploy AI-powered internal automation solutions and employee copilots across functions such as IT, HR, Finance, Procurement, Operations, and Customer Support . This role will focus on applying LLMs, workflow automation, enterprise search, and agentic AI to improve productivity, simplify processes, and enable intelligent self-service across the organization. The ideal candidate has hands-on experience building GenAI applications, internal copilots, RAG pipelines, API integrations, and workflow automations in enterprise environments, with strong attention to security, governance, and scale ., Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, Data Science, Information Systems , or related field. 5+ years of software engineering, automation, or AI/ML engineering experience. 2+ years of hands-on experience building GenAI/LLM applications in enterprise settings. Strong programming skills in Python and experience with REST APIs, microservices, and backend integration . Experience with LLM frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex , or similar. Experience building RAG pipelines using vector databases and enterprise knowledge sources. Hands-on experience with one or more cloud AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI , or equivalent. Experience integrating with enterprise tools such as ServiceNow, Workday, Microsoft 365, SharePoint, Teams, Slack, Jira, Salesforce , or similar systems. Solid understanding of authentication, authorization, role-based access, data privacy, and enterprise security controls . Strong communication skills with the ability to work cross-functionally with technical and business teams. Preferred Qualifications Experience with agentic workflows / multi-step task automation . Familiarity with MCP, tool calling, function calling , and agent orchestration patterns. Experience with Moveworks, Glean, Microsoft Copilot Studio / Power Virtual Agents , or similar enterprise AI platforms. Experience with workflow automation tools such as Power Automate, UiPath, ServiceNow Flow Designer , or equivalent. Exposure to LLMOps , model monitoring, prompt/version management, evaluation frameworks, and AI governance. Experience in large enterprise environments with shared services, ITSM, HR, procurement, or employee support use cases . ## Description * Design and develop AI copilots, virtual assistants, and internal automation workflows for enterprise use cases. * Build solutions using LLMs, prompt engineering, RAG, agent orchestration, and enterprise search . * Integrate AI solutions with enterprise platforms such as ServiceNow, Workday, Microsoft 365, SharePoint, Slack, Teams, HRIS, CRM, ERP, and ticketing systems . * Develop and maintain backend services, APIs, orchestration layers, and automation pipelines using Python and related frameworks. * Partner with business stakeholders across IT, HR, Finance, Procurement, and Operations to identify high-value use cases and convert them into production solutions. * Implement document understanding, knowledge retrieval, and task automation across structured and unstructured enterprise data. * Establish best practices for prompt management, model evaluation, guardrails, observability, and LLMOps . * Ensure enterprise-grade standards for security, privacy, access control, compliance, and governance . * Monitor solution performance, user adoption, and business impact; iterate based on feedback and usage patterns. * Support production deployments, troubleshooting, and continuous enhancement of AI systems. ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Stack Overflow: Community and AI](https://www.wearedevelopers.com/videos/600-stack-overflow-community-and-ai) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Cloud as the new mainframe: why the cloud hype does not reflect the dev reality](https://www.wearedevelopers.com/videos/797-cloud-as-the-new-mainframe-why-the-cloud-hype-does-not-reflect-the-dev-reality) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)