AI Engineer – GenAI​/Agentic Systems

AI Engineer – GenAI / Agentic Systems

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, Lang Smith, 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