AI Engineer, Local Only

   Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG.

·         Develop autonomous AI agents using modern agentic frameworks.

·         Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS, Azure, or Google Cloud Platform).

·         Build scalable REST APIs that power LLM-driven applications integrated with enterprise data sources.

·         Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks to measure answer relevance, groundedness, and hallucination rates.

·         Apply LLMOps/MLOps practices, including CI/CD pipelines, prompt/version management, automated testing, and monitoring of latency, cost, and response quality.

·         Develop systems leveraging embeddings at scale, knowledge graphs, and ontology extraction.

·         Collaborate across engineering teams, mentor developers, and help drive innovation in 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 embeddings, knowledge graphs, ontology extraction, and advanced RAG/GraphRAG implementations.

·         Full-stack development and deployment experience (Python back end + modern front end).

·         Experience deploying AI workloads to AWS, Azure, or Google Cloud Platform.

·         Familiarity with LLMOps/MLOps tooling and model evaluation frameworks.

·         Strong problem-solving, communication, and collaboration skills.