Job Url: https://www.remoterocketship.com/company/thecoragroup/jobs/ai-developer-united-states-remote Job Description: CORA Group Website LinkedIn All Job Openings CORA Group is a company specializing in acquiring, strengthening, and growing vertical market software companies. With extensive experience on both sides of the acquisition process, CORA Group focuses on nurturing its portfolio companies to accelerate their growth and build sustainable long-term value. The company boasts over 25 transactions, an expansive employee base, and operations in more than 150 countries across 10+ markets. CORA Group integrates new companies into its ecosystem through a detailed understanding of operational nuances and an emphasis on maintaining the unique identity of its acquisitions. Their strategy underscores long-term stability, aiming to ensure continued innovation and legacy preservation for each company within their portfolio. 501 - 1000 employees ☁️ SaaS 🏒 Enterprise 🀝 B2B AI Developer 5 days ago πŸ‡ΊπŸ‡Έ United States – Remote ⏰ Full Time 🟑 Mid-level 🟠 Senior πŸ€– AI Engineer AWS Azure Cloud Google Cloud Platform Hadoop Microservices Numpy PySpark Python PyTorch Scikit-Learn Spark SQL Tensorflow Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Build and deploy AI infrastructure for wine software. β€’ Leverage RAG and LLMs at a small development shop. β€’ Design and implement a robust AI infrastructure to support our new project. β€’ Develop and optimize RAG (Retrieval-Augmented Generation) systems. β€’ Configure and manage vector databases for efficient similarity search. β€’ Implement contextual retrieval and hybrid search solutions. β€’ Work with LLM technologies, including fine-tuning and deployment. β€’ Build agentic AI systems using modern frameworks. β€’ Collaborate with cross-functional teams to integrate AI capabilities. β€’ Ensure the security and privacy of AI models and data. β€’ Implement LLMOps best practices for model deployment, monitoring, and maintenance. β€’ Utilize domain knowledge to tailor LLM solutions to business-specific needs and enhance revalance β€’ Develop and implement Named Entity Recognition (NER) systems, including Zero-shot NER techniques β€’ Design and implement Text-to-SQL capabilities that leverage LLMs to transform natural language questions into executable SQL queries. β€’ Stay up-to-date with the latest advancements in AI technologies and methodologies. 🎯 Requirements β€’ Proven experience building production-ready AI infrastructure. β€’ Strong knowledge of Retrieval-Augmented Generation (RAG) systems. β€’ Experience working with and fine-tuning Large Language Models (LLMs). β€’ Proficiency with vector databases (e.g., Pinecone, Weaviate, Milvus). β€’ Hands-on experience with contextual retrieval and hybrid search techniques. β€’ Working knowledge of agentic frameworks such as LangChain, LlamaIndex, or Semantic Kernel. β€’ Strong programming skills in Python and relevant ML libraries. β€’ Experience with cloud infrastructure deployment (AWS, GCP, or Azure). β€’ Excellent problem-solving skills and the ability to work independently and as part of a team. β€’ Strong communication skills and the ability to convey complex technical concepts to non- technical stakeholders. β€’ Knowledge of security best practices for AI applications, including data protection, access control, and monitoring. β€’ Familiarity with LLMOps practices, including model deployment, monitoring, and maintenance. β€’ Experience with Named Entity Recognition (NER) systems, including Zero-shot NER.