Only W2: Customer-facing AI Engineer, Onsite Anywhere in USA
- Source: LinkedIn
- Tror - AI for everyone
- On-site
- New York City
- Mid level
Job Description
Role: Customer-facing AI Engineer **Location: Anywhere in USA
Experience: 7+ Years** Focus: AI/ML, Generative AI, LLMs, Cloud, and Enterprise Solutions
What We Need Someone who can build AI solutions, deploy them in customer environments, troubleshoot problems, and work directly with customers .
This is a mix of AI Engineering + Generative AI + Cloud + Solution Architecture + Customer Consulting .
Job Overview We are looking for an AI Engineer who can build, deploy, customize, and support AI solutions for enterprise customers.
The person should have strong experience with Python, AI/ML, Generative AI, LLMs, APIs, Cloud, and DevOps .
Key Responsibilities
- Build and deploy AI/ML and Generative AI solutions for customers.
- Develop AI applications, workflows, and automation tools.
- Work with LLMs such as OpenAI and Claude.
- Customize AI solutions based on customer requirements.
- Build and work with APIs, data pipelines, vector databases, and cloud platforms.
- Implement RAG, prompt engineering, and AI agents.
- Troubleshoot AI application, model, deployment, and performance issues.
- Help scale AI solutions for enterprise environments.
- Work closely with customers, product teams, developers, and data scientists.
- Follow AI security, governance, and responsible AI practices.
Required Skills
- Strong Python experience.
- Knowledge of AI/ML and Generative AI.
- Experience with LLMs such as OpenAI or Claude.
- Experience with RAG, prompt engineering, or AI agents.
- Experience with APIs and microservices.
- Experience with Cloud platforms such as AWS, Azure, or GCP.
- Knowledge of vector databases and data pipelines.
- Understanding of Docker, Kubernetes, and DevOps.
- Knowledge of SQL and preferably JavaScript or Java.
- Strong communication and customer-facing skills.
Skills
- Python
- openai
- claude-by-anthropic
- scaleai
- amazon-web-services
- microsoft-azure
- google-cloud-platform
- Docker
- Kubernetes
- javascript
- Java
