What are the responsibilities and job description for the AI Systems Architect position at CogniSoft Technologies?
Must-Have Skills
- Strong experience in designing and implementing high-performance, large-scale distributed systems
- Proven experience in implementing and deploying AI/ML platforms at scale
- Expertise in building agent-based architectures, evaluation frameworks, and prompt/context engineering
- Knowledge of MCP (Model Context Protocol) servers
- Hands-on experience in LLM inference optimization, including batching and caching strategies
- Strong experience with Kubernetes and cloud infrastructure (AWS/Azure/Google Cloud Platform)
- Proficiency in at least one programming language (Python, Java, Go, etc.)
- Expertise in designing agent data stacks & retrieval systems, including:
- Vector databases
- Hybrid search
- Data freshness strategies
- Memory systems
- Graph reasoning
- BM25 and advanced retrieval techniques