Our client is seeking an AI Engineer – GenAI / Agentic Systems to design and build enterprise-grade generative AI applications leveraging modern LLM architectures. This role focuses on developing agentic AI systems, RAG pipelines, and scalable APIs that integrate large language models with enterprise data platforms.
Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG
Develop autonomous AI agents using modern agentic frameworks
Design and deploy RAG-based services using Python (FastAPI), Docker, and cloud platforms
Build scalable REST APIs powering LLM-driven applications integrated with enterprise data sources
Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks
Apply LLMOps/MLOps practices including CI/CD pipelines, prompt management, automated testing, and monitoring
Develop systems leveraging embeddings, knowledge graphs, and ontology extraction
Collaborate with engineering teams and contribute to advanced GraphRAG and agentic AI architectures
Degree in Computer Science, AI/ML, or related field
5+ years of AI/ML-focused software engineering experience
Production experience building LLM-based or agentic AI systems
Strong expertise in Python and modern AI frameworks
Experience with RAG / GraphRAG implementations and embeddings at scale
Experience deploying AI workloads to AWS, Azure, or GCP
Familiarity with LLMOps/MLOps tooling and model evaluation frameworks
Strong problem-solving, communication, and collaboration skills