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# Senior Ai Engineer

- **Company:** Developers Incorporated
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, Systems Integration, Large Language Models, Model Validation, Generative AI, AI Platforms, HuggingFace, Machine Learning Operations, Docker, Databricks
- **Published:** September 19, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pl4sn96ha8

## About the Role

* Strong commercial experience as an AI Engineer or Machine Learning Engineer
 * Strong Python development experience
 * Experience working with Generative AI and LLM technologies
 * Experience with RAG and vector databases
 * Experience integrating AI models through APIs
 * Experience with Azure, AWS or GCP
 * Strong understanding of machine learning and AI concepts
 * Experience deploying AI solutions into production environments
 * Experience working within large enterprise environments

Desirable Experience

 * Azure OpenAI
 * OpenAI APIs
 * Azure AI / AWS AI services
 * LangChain or similar frameworks
 * Hugging Face
 * Vector databases
 * Databricks
 * MLflow
 * Docker and Kubernetes
 * MLOps and CI/CD
 * AI governance and security

## Description

You will be responsible for designing, developing and deploying AI solutions within an enterprise environment, working closely with Data Engineers, Architects and business stakeholders., * Design and develop production-ready AI and Generative AI solutions

 * Build and integrate AI applications using large language models
 * Develop RAG-based solutions and AI-powered applications
 * Integrate AI services and models into existing enterprise platforms
 * Develop and maintain APIs and AI services using Python
 * Work with Data Engineers and Architects to prepare and consume data for AI applications
 * Evaluate model performance, reliability and scalability
 * Support deployment and monitoring of AI solutions
 * Follow best practices around security, governance and responsible AI


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