Artificial Intelligence Engineer

AI/ML and GenAI, Full Stack Engineer Long-term contract Fully remote; local to Colorado preferred $60-$90/hour depending on experience Job Summary: We are seeking experienced AI/ML and GenAI Engineers to join our AI Pod. You will be responsible for building, scaling, and deploying Agents, Chatbots and AI Assistants, with a focus on GenAI use cases and RAG architecture. You will work with cutting-edge technologies and frameworks such as Langchain, LangGraph, Google ADK/A2A, and CrewAI. Responsibilities: • Build and scale AI Agents, Chatbots and Assistants. • Develop and deploy GenAI applications and agents using frameworks like Langchain, LangGraph, Google ADK, and CrewAI. • Implement and manage CI/CD pipelines, utilizing GitHub/GitLab. • Utilize and build AI/ML frameworks with AI Ops capabilities, including monitoring, observability, and continuous improvement. • Work with various LLMs such as Gemini, Claude, OpenAI, or Llama, and their respective APIs. • Implement and utilize model repositories. • Apply prompt engineering skills. • Work with vector databases such as Pinecone, Google Vector Search, and Google Cloud SQL (AlloyDB or PgVector). • Develop and deploy RAG use cases. • Implement logging and observability frameworks such as GCP Cloud Logging, and monitoring and observability frameworks such as Langsmith and Arize. • Utilize Terraform templates for agent deployment. • Engage in soft skills and documentation tasks. • Perform data engineering tasks. • Conduct unit testing, performance testing, and synthetic data generation. • Evaluate AI/ML models. • Ensure responsible AI practices. • Manage work breakdown and task management. • Implement Infrastructure as Code (IaC) using Terraform. • Engage in full stack/ both UI and services development. • Utilize multiple programming languages including Python and JS/TS. • Engage directly with customers or business owners. • Implement AI security best practices and tools, such as Model Armor. • Experience in all aspects of SDLC (nice to have). Skills and Experience: • AI/ML and GenAI engineering experience. • Strong Python experience in building AI/ML frameworks, especially in AI Ops capabilities (monitoring, observability, and continuous improvement). • Experience in CI/CD, GitHub/GitLab. • Good understanding of various LLMs (Gemini, Claude, OpenAI, Llama) and their APIs. • Prompt engineering skills. • Experience in building and scaling AI Chatbots and AI Assistants. • Experience with vector databases (Pinecone, Google Vector Search, Google Cloud SQL). • Good understanding of GenAI use cases, architecture, development, and deployment of RAG use cases. • Experience in using and building GenAI applications and agents with frameworks such as Langchain, LangGraph, Google ADK, CrewAI. • Experience with logging and observability frameworks such as GCP Cloud Logging, and monitoring and observability frameworks such as Langsmith and Arize. • Experience using IDEs such as Google Colab, VS Code, Vertex AI Workbench. • Experience with Google Cloud Platform (GCP) and Vertex AI. • Knowledge of MCP servers. • Model Armor knowledge. • Experience with vibe coding tools like Windsurf and/or Gemini Code Assist. • Soft skills and documentation experience. • Terraform experience. • UI experience or willingness to learn Node.js, React, and TypeScript. • Data engineering experience. • Unit testing and performance testing. • Synthetic data generation. • AI/ML model evaluation. • Responsible AI experience. • Work breakdown and task management. • Infrastructure as Code (IaC), specifically Terraform. • Full stack or experience in both UI and services development. • Multiple programming language experience. • Experience engaging customers or business owners directly. • AI security best practices and tool implementation (e.g., Model Armor). • Experience in all aspects of SDLC (nice to have). • Project Initiation • Requirements Gathering • Analysis • Design • Development • Testing • Implementation or deployment • Maintenance