AI Engineer
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Job Description
Senior AI Engineer building Azure-powered enterprise AI solutions for a global IT services provider. Developing LLM, RAG, and agentic AI applications with .NET and Python.
Responsibilities:
- Design and develop scalable AI-driven applications using .NET (C#) and Python
- Build and deploy enterprise AI solutions leveraging Large Language Models (LLMs), Generative AI, and Agentic AI architectures
- Develop intelligent agents and multi-agent workflows using modern agent orchestration frameworks
- Design and implement Retrieval-Augmented Generation (RAG) solutions with vector databases and enterprise knowledge sources
- Integrate AI services with enterprise applications, APIs, and data platforms
- Build reusable AI components, services, and accelerators following engineering best practices
- Collaborate with product owners, architects, data engineers, and business stakeholders to define AI use cases and technical solutions
- Ensure AI solutions meet enterprise requirements for security, governance, scalability, and performance
- Conduct code reviews, mentor junior engineers, and contribute to AI engineering standards and best practices
- Stay current with emerging AI technologies, frameworks, and industry trends
Requirements:
- 5+ years of software engineering experience
- 2+ years of experience delivering AI/ML or Generative AI solutions in production environments
- Demonstrated experience working on enterprise-scale AI implementations
- Strong proficiency in .NET/C# development
- Strong proficiency in Python for AI/ML application development
- Hands-on experience with Microsoft Azure services and cloud-native development
- Experience with Azure OpenAI Service, Azure AI Services, Azure Functions, API Management, and Azure storage services
- Experience designing and implementing RAG architectures
- Strong understanding of REST APIs, microservices, and distributed systems
- Familiarity with vector databases and semantic search technologies
- Advanced Oral English
- Advanced Spanish
Benefits:
- Remote work arrangement depending on specific project needs
- Global career opportunities and exposure to high-impact projects
- Work on end-to-end digital transformation projects for global leaders
- Environment recognized as one of the most sustainable corporations in the world
- Exposure to next-generation technologies including 5G, AI, Blockchain, and Quantum Computing
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