Applied AI Engineer

This is a fully remote position, open to applicants in Colorado, +3 more states.

📋 Description

• Develop agentic applications and workflows utilizing LLM frameworks, models, and guidelines established by the Data Science team.

• Create and execute tool integrations, function-calling patterns, and orchestration logic.

• Convert agent specifications and prompt strategies into effective, deployable services.

• Implement Retrieval-Augmented Generation (RAG) pipelines.

• Manage the entire lifecycle of agent systems from initial prototype to production.

• Establish evaluation and observability infrastructure.

• Collaborate with the Data Science team on prompt engineering, model behavior adjustment, and guardrail enforcement.

• Partner with platform and infrastructure teams to deploy, scale, and sustain agent services within cloud environments.

• Contribute to the development of internal tools, SDKs, and shared libraries.

⛳️ Requirements

• Over 3 years of software engineering experience with a strong command of Python.

• Practical experience in building applications driven by large language models (Claude, GPT, Gemini).

• Knowledge of agent frameworks and orchestration patterns (LangChain, LangGraph, CrewAI, Vertex AI Agent Builder, or custom orchestration).

• Experience in implementing function calling, tool usage, and multi-step agent workflows.

• Comprehensive understanding of RAG architectures, embedding models, and vector databases (Pinecone, Weaviate, pgvector, Vertex AI Vector Search).

• Ability to work comfortably within established guardrails and model configurations.

• Experience with API design, microservices, and deploying services in cloud environments.

• Strong debugging skills and problem-solving capabilities.

• Excellent communication skills; capable of collaborating across Data Science, Product, and Engineering teams.

• Experience with evaluation frameworks for LLM-based systems is a plus.

• Familiarity with MLOps tools and CI/CD for ML systems, as well as experience with streaming responses, asynchronous architectures, and real-time agent interactions are advantageous.

• A background in developing multi-agent systems with routing, delegation, and coordination patterns is preferred.

• Exposure to the Google Cloud Platform/Vertex AI ecosystem is preferred.

• Contributions to open-source AI/ML projects are preferred.

🏝️ Benefits

• Stock options.

• A variety of medical, dental, vision, and financial benefits.

• Generous paid time off (PTO).

• Stipends for professional development.

• Wellness benefits.