> Markdown version of [/jobs/ext/2013422-applied-ai-software-engineer-iii](https://www.wearedevelopers.com/jobs/ext/2013422-applied-ai-software-engineer-iii). 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).

---

# Applied AI Software Engineer III

- **Company:** Deloitte T.T.L.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Amazon Web Services, Unit Testing, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Software Quality, Github, Python (Programming Language), Machine Learning, Node.Js, NoSQL, Open Source Technology, Platform as a Service (PAAS), Tensorflow, Azure Machine Learning, Software Engineering, SonarQube, SQL Databases, Web Application Frameworks, Pytorch, ReactJS, Large Language Models, Prompt Engineering, Generative AI, AngularJS, Information Technology, Extreme Programming, Machine Learning Operations, Virtual Agents, Devsecops, Microservices
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/applied-ai-software-engineer-iii-new-york-ny-usa-58879926

## About the Role

experimentation and engagement with product teams and customers * Deliver lean, maintainable solutions through incremental, evidence-based delivery * Collaborate across cross-functional teams (product, experience, delivery) to balance feasibility, usability, and value * Apply advanced software engineering practices including AI/agentic SSDLC for end-to-end automation and quality checks * Acquire domain knowledge quickly and translate user needs into technical specs and code * Communicate complex technical concepts clearly to stakeholders and influence decisions * Engage with customers and product teams to co-create feasible solutions Tasks * Bachelor's degree or higher in computer science, software engineering, data science, machine learning, or related field * 5+ years experience with Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks * 3+ years building AI/ML and agentic applications with GenAI experience aaaap
_ LLM integration (OpenAI, Anthropic, or open-source), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration * 3+ years cloud-native engineering with FaaS/PaaS/microservices on Azure, AWS, or GCP, including AI/ML services and cost-aware engineering (FinOps) * Experience with XP/Lean/DevSecOps/SRE/ADO/GitHub/SonarQube/MLflow and agentic AI frameworks (LangFuse/LangSmith) or similar tools * Ability to travel ~10% and be located within commutable distance to select locations; ability to work in local office 3+ days/week * Limited immigration sponsorship may be available Key requirements *

## Description

Experteer Overview In this role you will build high-visibility full-stack products with GenAI capabilities, delivering tangible business value. You'll work with cross-functional teams to ship end-to-end solutions, balancing customer outcomes with cost-aware engineering. You will lead and influence technical direction while staying hands-on with modern frameworks and AI-driven features. This position offers opportunities to shape product delivery, leverage advanced AI, and contribute to Deloitte's product and AI investments. Compensation / Benefits * Own outcomes-driven engineering solutions with lean design and cost considerations for inference and cloud usage * Act as technical advocate, ensuring code integrity and alignment with business goals; lead requirements, design, development, testing, integration and support * Maintain code quality and architecture adherence; stay hands-on and continuously learn new languages/frameworks * Develop lean, customer-centric solutions through rapid experimentation and engagement with product teams and customers * Deliver lean, maintainable solutions through incremental, evidence-based delivery * Collaborate across cross-functional teams (product, experience, delivery) to balance feasibility, usability, and value * Apply advanced software engineering practices including AI/agentic SSDLC for end-to-end automation and quality checks * Acquire domain knowledge quickly and translate user needs into technical specs and code * Communicate complex technical concepts clearly to stakeholders and influence decisions * Engage with customers and product teams to co-create feasible solutions Tasks * Bachelor's degree or higher in computer science, software engineering, data science, machine learning, or related field * 5+ years experience with Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks * 3+ years building AI/ML and agentic applications with GenAI experience across LLM integration (OpenAI, Anthropic, or open-source), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration * 3+ years cloud-native engineering with FaaS/PaaS/microservices on Azure, AWS, or GCP, including AI/ML services and cost-aware engineering (FinOps) * Experience with XP/Lean/DevSecOps/SRE/ADO/GitHub/SonarQube/MLflow and agentic AI frameworks (LangFuse/LangSmith) or similar tools * Ability to travel ~10% and be located within commutable distance to select locations; ability to work in local office 3+ days/week * Limited immigration sponsorship may be available Key requirements *


## Related Videos

- [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis)
- [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus)
- [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models)
- [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou)

## 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)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)