Specialist Software Engineer - AI Systems
Tasks
- Apply MLOps practices
- Build scalable cloud-native applications
- Define cloud architecture on AWS
- Design Agentic AI systems
- Develop AI-enabled workflows
- Develop reusable APIs and services
- Evaluate and improve agent performance
- Implement observability logging monitoring and error handling
- Implement retrieval-augmented generation
- Integrate large language models APIs and databases
- Operationalize machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Airflow | Autogen | CI/CD | CrewAI | Databricks | Docker | Embeddings | Event Driven | Event-driven architecture | JavaScript | Kubeflow | Kubernetes | Langchain | Langgraph | Llamaindex | Logging | MLOps | MLflow | Machine Learning | Microservices | Monitoring | NoSQL | Observability | Prompt engineering | Python | Reranking | Retrieval-Augmented Generation | SQL | SageMaker | Semantic Kernel | Semantic Search | Serverless | Testing | TypeScript | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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