Mid-Level Generative Artificial Intelligence (GenAI) Search Solutions Developer
Tasks
- Build retrieval pipelines
- Collaborate with product stakeholders
- Conduct A/B testing and iteration
- Design GenAI search features
- Design enterprise search features
- Design semantic search features
- Develop RESTful APIs
- Evaluate search relevance models
- Fine-tune embedding models
- Fine-tune large language models
- Implement hybrid retrieval
- Implement re ranking systems
- Instrument experiments and measure performance
- Integrate backend systems
- Maintain production quality code
- Optimize vector search
- Participate in code and design reviews
Perks/Benefits
- Health insurance
- Life and disability insurance
- Paid time off
- Relocation assistance
- Retirement savings plans
Skills/Tech-stack
A/B | A/B Testing | AWS | Angular | Attention Mechanisms | Azure | Azure DevOps | B testing | C# | CI/CD | CSS | Cloud infrastructure | Embedding Models | Enterprise Search | Enterprise search platforms | GCP | GitLab | HTML | Hybrid retrieval | JavaScript | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Python | RESTful APIs | Re-ranking | React | Redux | Retrieval Pipelines | SQL | Search Platforms | Sequence Models | Sequence to sequence | Sequence to sequence models | Transformers | TypeScript | Vector Databases | Vector Search | Word Embeddings
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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