Experienced AI Engineer - Generative AI/Machine Learning
Tasks
- Build solutions using large language models and retrieval augmented generation
- Build vector search semantic retrieval and enterprise knowledge bases
- Collaborate with stakeholders on AI enabled solution requirements
- Contribute to CI/CD pipelines and infrastructure automation
- Deploy and optimize applications in Kubernetes environments
- Design and develop enterprise AI applications
- Develop backend services and REST APIs with cloud native architecture
- Develop document processing and OCR knowledge extraction solutions
- Implement integrations using APIs messaging and event driven architectures
- Mentor teams and improve software quality testing security observability and maintainability
- Participate in architecture reviews code reviews and Agile ceremonies
Perks/Benefits
- Education bonuses
- Employee assistance program
- Fitness center discounts
- Flexible hybrid work arrangements
- Free virtual fitness platform
- Paid time off
- Paid volunteer time off
- Parental and family care leave
- Training and certification opportunities
- Tuition reimbursement
Skills/Tech-stack
AI Agents | AI Foundry | APIs | Agile | Azure AI | Azure AI Foundry | CI/CD | Design Patterns | Docker | Document processing | Embeddings | Event Driven | Event-driven architecture | Git | GitLab | Infrastructure as Code | Knowledge ingestion | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Messaging | Microservices | OCR | Object-Oriented | Object-oriented design | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Semantic Retrieval | Vector Databases | Vector Search | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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