Senior AI Engineer
cornerstone
Job Description
- Design, develop, and deploy production-grade AI agents and multi-agent systems using modern LLM frameworks.
- Build and optimize Retrieval-Augmented Generation (RAG) solutions for enterprise-scale applications.
- Develop intelligent workflows involving planning, reasoning, memory management, tool calling, and function calling.
- Design and implement scalable backend services and REST APIs using Python frameworks such as FastAPI.
Integrate LLMs with enterprise systems, vector databases, APIs, and external tools. - Deploy AI applications using Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
- Optimize AI systems for latency, scalability, reliability, and cost efficiency.
- Build evaluation pipelines to measure retrieval quality, response relevance, hallucination rates, and overall LLM performance.
- Implement semantic search, hybrid search, reranking, embedding pipelines, and vector database integrations.
- Establish observability, monitoring, logging, and tracing for AI applications using industry-standard tools.
- Collaborate with product managers, software engineers, data scientists, and platform teams to deliver end-to-end AI solutions.
- Mentor junior engineers and promote AI engineering best practices, coding standards, and architectural excellence.
- Stay up to date with emerging advancements in LLMs, Agentic AI, RAG, and AI infrastructure.