> Markdown version of [/jobs/ext/1978881-agentic-ai-technical-lead](https://www.wearedevelopers.com/jobs/ext/1978881-agentic-ai-technical-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI - Technical Lead - **Company:** McKinsol Consulting Inc - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Computer Programming, Continuous Integration, Data Cleansing, Software Debugging, DevOps, Python (Programming Language), Machine Learning, Node.Js, NumPy, Performance Tuning, Tensorflow, Software Engineering, Unstructured Data, Data Logging, Data Processing, Pytorch, Git, Pandas, Microservices - **Published:** August 7, 2026 - **Apply:** https://www.dice.com/job-detail/ad5ebd4f-846c-426f-9873-546258ccd9ff ## About the Role * Minimum 10+ years (not more than 15+ years overall) of experience in designing and development of AI/ML applications. * Strong handson programming experience (Python required) with the ability to design and implement productionready solutions (experience in JS/NodeJS or .NET/C# is a plus) * Architecture and systemdesign experience, with a proven track record of translating designs into working code (must still code 50 70% of the time) * Practical experience implementing AI/ML solutions endtoend, including data preparation, model usage, and integration into applications (using frameworks like ScikitLearn, TensorFlow, or PyTorch) * Experience designing and building scalable ML/AI systems using APIs, microservices, and eventdriven patterns with direct handson implementation responsibility * Strong data handling skills, including Pandas/NumPy and working with structured and unstructured data in real systems * Cloudnative experience (Azure/AWS) with handson deployment, debugging, and performance tuning of AI workloads * Solid software engineering and DevOps practices, including Git, CI/CD pipelines, logging, monitoring, and production readiness * Individual contributor role no people management; must personally design, code, debug, and support solutions ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)