AI Engineer II
Tasks
- Architect develop and maintain AI powered applications in Python
- Build document ingestion and parsing pipelines
- Define and track AI quality metrics
- Design and maintain relational and vector databases
- Design and optimize retrieval pipelines
- Develop and operate shared platform services
- Gather requirements from non technical clients
- Integrate structured knowledge with unstructured text
- Lead technical design decisions and best practices
- Mentor junior engineers
- Provision deploy monitor and troubleshoot services on Kubernetes and cloud
- Translate client needs into technical specifications
Perks/Benefits
- 401k match
- Educational benefits
- Employee referral bonus
- Flexible spending account
- Medical, dental & vision coverage
- Paid Holidays
- Paid time off
Skills/Tech-stack
API Development | API Key | API key management | AWS | Agent Frameworks | Authentication | CI/CD | CUDA | CUDA programming | Database Design | Docker | Document parsing | Embeddings | Evaluation | GPU Computing | Git | GitHub | Graph Query Languages | IAM | Key Management | Knowledge graphs | Kubernetes | Language Models | Large Language Models | Layout extraction | Linux | Machine Learning | OAuth | OCR | OCR Layout Extraction | OCR extraction | Observability | Ontology | OpenID Connect | Orchestration | PostgreSQL | Python | Query languages | RDF | Relational Database | Relational Database Design | Reranking | Retrieval-Augmented Generation | S3 | S3 Deployment | SPARQL | Semantic Search | Vector Databases | Vector Search | Vector indexing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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