> Markdown version of [/jobs/ext/2594785-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2594785-ai-ml-engineer). 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).

---

# AI/ML Engineer

- **Company:** Capgemini
- **Location:** New York, NY, United States
- **Salary:** $103,330.0 - $128,656.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Cloud Computing, Continuous Integration, Distributed Data Store, Github, Python (Programming Language), Machine Learning, Azure Machine Learning, Systems Integration, Large Language Models, Spring-boot, Fastapi, Containerization, AngularJS, Kubernetes, Apache Kafka, Machine Learning Operations, Api Design, Artificial Intelligence Markup Language (AIML), Data Pipelines, Microservices
- **Published:** August 14, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3354574047&tx=KR1111FFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

We are seeking a highly skilled AIML Engineer with strong hands-on experience in Python, modern AI/LLM integration, API development, and distributed data technologies.

This role will focus on building, integrating, and deploying AI/ML models-particularly those involving Large Language Models (LLMs), agentic AI workflows, and real-time data pipelines.

The ideal candidate will have a strong engineering background with a deep understanding of ML systems design, inferencing pipelines, and microservices-based APIs.

Experience working in Agile environments and collaborating with cross-functional teams is essential.

Required Skills

Python

Experience in Integration LLM

FAST API

Kafka Integration

Rest API Integration for ML Models

GitHub and CoPilot

Agentic AI Implementation

Good-to-Have Skills

Java/Angular

Spring Boot

CI/CD

Containerization (Docket, Kubernetes)

Cloud ML platforms



## Related Videos

- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge)
- [How to Stop Choosing JavaScript Frameworks and Start Living](https://www.wearedevelopers.com/videos/118-how-to-stop-choosing-javascript-frameworks-and-start-living)
- [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi)
- [Stand alone components in Angular](https://www.wearedevelopers.com/videos/656-stand-alone-components-in-angular)
- [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [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)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)