AI Engineer
Tasks
- Build Retrieval Augmented Generation systems
- Build and deploy AI driven features and integrations using CI CD pipelines
- Collaborate with cross-functional teams in an agile environment
- Design agentic workflows using orchestration patterns
- Design evaluation and testing for model accuracy
- Develop and fine-tune language models
- Establish observability tracing and evaluation pipelines for LLM applications
- Implement information retrieval systems
- Implement safeguards for harmful content
- Integrate retrieval and generation components
- Research and design AI and machine learning solutions
Perks/Benefits
- Continuing education
- Family support
- Flexible time off
- Health care
- Learning and development resources
- Retirement benefits
- Wellness benefits
Skills/Tech-stack
AWS | Agent Orchestration | Artificial Intelligence | CI/CD | CrewAI | Data Normalization | Data Pipelines | Data Preprocessing | Data encoding | Docker | Embedding Techniques | Embeddings | Evaluation | Git | Golang | Information Retrieval | JavaScript | Langfuse | Langgraph | Langsmith | Language Models | Language Processing | Linux | Machine Learning | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | OCI | Observability | Prompt engineering | Python | RAG Architecture | REST APIs | RESTful APIs | Retrieval-Augmented Generation | Rust | Semantic Search | Text Analytics | Tracing | Vector Databases | Vector Search
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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