Lead AI Engineer
Tasks
- Build agentic workflows
- Build deployment pipelines
- Design retrieval systems
- Develop and fine-tune language models
- Establish observability and evaluation pipelines
- Evaluate language model performance
- Implement retrieval safeguards
- Integrate retrieval and generation components
- Research AI and machine learning solutions
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Best practices | CI/CD | Containerization | CrewAI | Data Normalization | Data Preprocessing | Data cleaning | Data encoding | Docker | Embeddings | Go | Information Retrieval | JavaScript | Langfuse | Langgraph | Langsmith | Language Models | Language Processing | Large Language Models | Linux | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | Python | RESTful APIs | Retrieval-Augmented Generation | Rust | Security best practices | Semantic Search | Supervisor Routing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Software Engineer
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