Associate Principal AI Engineer
Tasks
- Apply fine tuning
- Architect and deliver generative AI solutions
- Automate scientific documentation
- Build knowledge retrieval workflows
- Connect user interfaces to AI platforms
- Control hallucinations
- Deploy vector search and ingestion pipelines
- Design secure front end user experiences
- Drive MLOps and productionization
- Ensure compliance with production readiness standards
- Establish grounded reasoning and evaluation frameworks
- Evaluate model families
- Implement CI CD for models and apps
- Implement decision support systems
- Implement safety guardrails
- Lead agentic AI capabilities
- Manage safe rollout practices
- Mentor junior engineers
- Monitor models and detect drift
- Operationalize AI and ML excellence
- Optimize inference for latency scalability and cost
- Partner with scientists and IT stakeholders
- Provide observability dashboards
- Support human-in-the-loop review
Perks/Benefits
Skills/Tech-stack
Access Control | Agentic AI | Agile | C# | CI/CD | Content Filtering | Data Ingestion | Data Ingestion Pipelines | Docker | Drift Detection | Embedding Models | Fine Tuning | Front-end | Front-end Development | Generative AI | Hallucination control | Human-in-the-loop | Ingestion pipelines | Kubernetes | LLMs | Lean | MLOps | Microservices | Model Deployment | Model Evaluation | Monitoring | Observability | PEFT | Privacy governance | PyTorch | Python | RAG | REST APIs | React | Red Teaming | Safety Guardrails | TensorFlow | The Loop | TypeScript | Vector Databases | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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