R
Artificial Intelligence Engineer
Robert Half
3 hours ago
Full-time
On-site
San Diego, California, United States
Robert Half Technology is seeking a talented Senior Applied AI Engineer for an exciting opportunity with a mission-driven organization in San Diego. This is a highly hands-on, delivery-focused position for an engineer who thrives on transforming innovative AI concepts into production-ready applications and intelligent automation solutions. The ideal candidate has extensive experience leveraging Large Language Models (LLMs), AI orchestration frameworks, multi-agent architectures, and Retrieval-Augmented Generation (RAG) to build scalable, reliable solutions that deliver measurable business value. Working closely with the Director of Data Science & Analytics, this individual will independently design, develop, and deploy AI-powered applications, intelligent agents, and automated workflows while identifying opportunities to improve organizational efficiency. This is an applied AI engineering position, not an AI research or model-training role. The focus is on utilizing existing AI technologies to create practical, production-ready solutions.
Responsibilities
Key Responsibilities AI Engineering & Application Development Design, develop, deploy, and maintain production-quality AI-powered applications and intelligent automation workflows. Architect and implement multi-agent AI systems and RAG pipelines to support organizational objectives. Integrate large language models and AI APIs into internal business applications. Independently transform loosely defined business requirements into functional, documented solutions. AI Orchestration & Systems Integration Develop intelligent workflows leveraging LangChain, LangGraph, CrewAI, n8n, Microsoft Copilot Studio, and similar frameworks. Integrate AI applications with enterprise data platforms, APIs, Python-based services, and internal business systems. Utilize emerging integration standards, including Model Context Protocol (MCP), where appropriate. Implement reliable automation solutions requiring minimal manual intervention. LLM Development & Optimization Develop and optimize prompts, system instructions, and evaluation frameworks to improve AI accuracy and consistency. Work with leading LLM providers, including OpenAI, Anthropic Claude, Google Gemini, and open-source models. Evaluate available AI technologies and recommend appropriate models and frameworks based on business requirements. Build and maintain AI-powered knowledge management solutions using vector databases, embedding models, and retrieval systems. Data Analytics & Solution Delivery Leverage Python, SQL, and data analysis techniques to explore datasets and identify actionable insights. Collaborate with data scientists, analysts, and business stakeholders to identify opportunities for AI adoption. Deliver complete solutions from initial concept through development, deployment, documentation, and ongoing support. Communicate technical concepts and analytical findings clearly to both technical and nontechnical audiences.
Qualifications
Required Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, or a related discipline. 5+ years of professional experience in software development, data engineering, or data science. 2+ years of hands-on professional experience developing applied AI or LLM-based solutions. Demonstrated experience developing and deploying production-ready AI applications used by business stakeholders. Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or n8n. Experience implementing RAG architectures, vector databases, embeddings, and knowledge retrieval systems. Experience integrating LLM APIs, including OpenAI, Anthropic Claude, Google Gemini, or comparable technologies. Strong programming proficiency in Python and SQL. Experience with low-code/no-code enterprise AI tools such as Microsoft Copilot Studio, Power Automate, or similar platforms. Strong problem-solving, analytical, and communication skills. Ability to independently manage AI development projects from concept through production deployment. Interest in public health, scientific research, and mission-driven technology initiatives.
Required Skills
Hands-on professional experience developing applied AI or LLM-based solutions. Demonstrated experience developing and deploying production-ready AI applications used by business stakeholders. Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or n8n. Experience implementing RAG architectures, vector databases, embeddings, and knowledge retrieval systems. Experience integrating LLM APIs, including OpenAI, Anthropic Claude, Google Gemini, or comparable technologies. Strong programming proficiency in Python and SQL. Experience with low-code/no-code enterprise AI tools such as Microsoft Copilot Studio, Power Automate, or similar platforms. Strong problem-solving, analytical, and communication skills. Ability to independently manage AI development projects from concept through production deployment.
Preferred Skills
Preferred Qualifications Master's degree in a related technical discipline. Experience working with Snowflake or other cloud-based data platforms. Familiarity with Model Context Protocol (MCP) and LLM tool-use integration patterns. Experience with Pinecone, ChromaDB, Weaviate, pgvector, or comparable vector databases. Demonstrated portfolio of deployed AI applications or ability to present live examples of previous work.
Responsibilities
Key Responsibilities AI Engineering & Application Development Design, develop, deploy, and maintain production-quality AI-powered applications and intelligent automation workflows. Architect and implement multi-agent AI systems and RAG pipelines to support organizational objectives. Integrate large language models and AI APIs into internal business applications. Independently transform loosely defined business requirements into functional, documented solutions. AI Orchestration & Systems Integration Develop intelligent workflows leveraging LangChain, LangGraph, CrewAI, n8n, Microsoft Copilot Studio, and similar frameworks. Integrate AI applications with enterprise data platforms, APIs, Python-based services, and internal business systems. Utilize emerging integration standards, including Model Context Protocol (MCP), where appropriate. Implement reliable automation solutions requiring minimal manual intervention. LLM Development & Optimization Develop and optimize prompts, system instructions, and evaluation frameworks to improve AI accuracy and consistency. Work with leading LLM providers, including OpenAI, Anthropic Claude, Google Gemini, and open-source models. Evaluate available AI technologies and recommend appropriate models and frameworks based on business requirements. Build and maintain AI-powered knowledge management solutions using vector databases, embedding models, and retrieval systems. Data Analytics & Solution Delivery Leverage Python, SQL, and data analysis techniques to explore datasets and identify actionable insights. Collaborate with data scientists, analysts, and business stakeholders to identify opportunities for AI adoption. Deliver complete solutions from initial concept through development, deployment, documentation, and ongoing support. Communicate technical concepts and analytical findings clearly to both technical and nontechnical audiences.
Qualifications
Required Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, or a related discipline. 5+ years of professional experience in software development, data engineering, or data science. 2+ years of hands-on professional experience developing applied AI or LLM-based solutions. Demonstrated experience developing and deploying production-ready AI applications used by business stakeholders. Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or n8n. Experience implementing RAG architectures, vector databases, embeddings, and knowledge retrieval systems. Experience integrating LLM APIs, including OpenAI, Anthropic Claude, Google Gemini, or comparable technologies. Strong programming proficiency in Python and SQL. Experience with low-code/no-code enterprise AI tools such as Microsoft Copilot Studio, Power Automate, or similar platforms. Strong problem-solving, analytical, and communication skills. Ability to independently manage AI development projects from concept through production deployment. Interest in public health, scientific research, and mission-driven technology initiatives.
Required Skills
Hands-on professional experience developing applied AI or LLM-based solutions. Demonstrated experience developing and deploying production-ready AI applications used by business stakeholders. Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or n8n. Experience implementing RAG architectures, vector databases, embeddings, and knowledge retrieval systems. Experience integrating LLM APIs, including OpenAI, Anthropic Claude, Google Gemini, or comparable technologies. Strong programming proficiency in Python and SQL. Experience with low-code/no-code enterprise AI tools such as Microsoft Copilot Studio, Power Automate, or similar platforms. Strong problem-solving, analytical, and communication skills. Ability to independently manage AI development projects from concept through production deployment.
Preferred Skills
Preferred Qualifications Master's degree in a related technical discipline. Experience working with Snowflake or other cloud-based data platforms. Familiarity with Model Context Protocol (MCP) and LLM tool-use integration patterns. Experience with Pinecone, ChromaDB, Weaviate, pgvector, or comparable vector databases. Demonstrated portfolio of deployed AI applications or ability to present live examples of previous work.