AI Engineer / Developer
Tasks
- Build agent orchestration workflows
- Build and maintain batch and streaming data pipelines
- Build cloud and onpremise systems for hosting AI and LLM applications
- Deploy AI services into secure production environments
- Design AI system architecture best practices and standards
- Design and optimize data models for feature stores
- Design build and optimize agentic AI systems and LLM applications
- Develop and integrate retrieval augmented generation pipelines
- Ensure code quality system reliability scalability and observability
- Implement DataOps and MLOps automation
- Ingest transform and curate data for AI workloads
- Provide infrastructure design optimization and monitoring
- Set up CI CD data validation model deployment monitoring and drift detection
- Translate business requirements into technical solutions
Perks/Benefits
- Company-Paid Holidays
- Employee assistance programs
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plan
- Sick leave
Skills/Tech-stack
AWS | Agent Orchestration | Apache Kafka | Apache Spark | CI/CD | Code Reviews | Data Modeling | Data Validation | DataOps | Distributed Systems | Docker | Drift Detection | Feature Engineering | Feature Store | GitHub | GitHub Actions | Hybrid Cloud | JavaScript | Kubernetes | LLM Applications | Langchain | Langgraph | MLOps | Microsoft Azure | Model Deployment | Model Monitoring | Python | React | Retrieval-Augmented Generation | SQL | Testing
Education
N/A
Roles
AI | AI Developer | AI Engineer | Developer | Engineer
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