Senior AI Engineer
Tasks
- Address technical debt and build scalable reusable secure documented architectures
- Collaborate on cybersecurity infrastructure data engineering and Office 365 approvals
- Communicate progress to non technical stakeholders
- Define and maintain a phased AI product roadmap
- Design architect implement and productionize GenAI agents
- Identify and integrate Generative AI solutions into business workflows
- Lead end to end delivery for opportunities
- Lead high impact initiatives across business functions
- Lead software development from design through deployment
- Manage deployed application lifecycle including debugging enhancements upgrades and continuous improvement
- Mentor junior developers foster collaboration and pair programming
- Scope use cases gather requirements establish success criteria and deliver UX
Perks/Benefits
- 401k match
- Commuter benefits
- Company paid volunteer day
- Employee stock purchase plan
- Inclusion and diversity initiatives
- Learning and development opportunities
- Remote work
- Tuition reimbursement
Skills/Tech-stack
Agent systems | Agentic search | Automated testing | Azure Kubernetes | Azure Kubernetes Service | Azure Pipelines | CI/CD | Embeddings | Evaluation Frameworks | Full-text search | Generative AI | HTML | Hybrid search | JavaScript | Knowledge graphs | Kubernetes Service | Machine Learning | Multi-Agent | Multi-Agent Systems | PyTorch | Pydantic | Python | RAG | React.js | Retrieval-Augmented Generation | Text search | TypeScript | Vector Search
Education
Roles
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