Senior AI Engineer (GenAI & Agentic Systems)
Tasks
- Apply security privacy and governance standards for GenAI
- Architect multi agent orchestration
- Architect scalable asynchronous backend APIs
- Build RAG pipelines and define retrieval strategies
- Collaborate with product and data teams to deliver AI solutions
- Define observability strategies for AI systems
- Design cloud native AI deployments on GCP
- Design vector search with pgvector and relational databases
- Develop evaluation frameworks for model performance
- Ensure secure system integration for AI agents
- Establish CI/CD pipelines and release processes
- Implement Docker containerization and Kubernetes orchestration
- Implement prompt engineering standards and governance
- Lead design and development of agentic AI systems
- Provide technical mentorship and code reviews
Perks/Benefits
- Attractive benefits plan
- Benefits of law and superiors
- Development opportunities
- Dynamic work environment
- Professional growth
Skills/Tech-stack
API Design | API Integration | Agent Orchestration | Agent systems | Asyncio | CI/CD | Context engineering | Cost Optimization | Debugging | Distributed Systems | Docker | FastAPI | GCP | Hybrid search | Hybrid search strategies | Kubernetes | Latency optimization | MLOps | Model Evaluation | Multi-Agent | Multi-Agent Systems | Multi-agent orchestration | Observability | PGVector | PostgreSQL | Prompt engineering | Python | RAG | Re-ranking | SSE | Search strategies | Secure API | Secure API integration | Streaming | Tool usage | Tracing | Vector Search | WebSockets
Education
N/A
Roles
Regions
Countries
States
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