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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Teak, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Quality, Code Review, Django Web Framework, Python (Programming Language), Open Source Technology, Search Technologies, Software Engineering, AI Infrastructure, Data Logging, Cloud Platform System, Large Language Models, Backend, AI Platforms, Information Technology, Low Latency - **Published:** August 14, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/senior-ai-engineer/9884995 ## About the Role * Bachelor's Degree in Computer Science, Engineering, a related field, or equivalent practical experience. * 5+ years of professional software engineering experience, with at least 2 years focused on production AI/LLM application development. * Strong Python proficiency and solid software engineering fundamentals. * Deep backend engineering experience, designing, building, and operating production services and APIs (Django or similar framework), with strong fundamentals in testing, code quality, and system design. * Hands-on experience building and deploying agentic AI systems (LangGraph, LangChain, AWS Bedrock Agents, or similar). * Demonstrated experience integrating LLM APIs (Anthropic, OpenAI, or similar) into production applications. * Experience building and maintaining RAG pipelines and vector search systems. * Working knowledge of Model Context Protocol (MCP) and tool-calling patterns. * Experience designing and running LLM evaluation frameworks for quality, reliability, and safety. * Experience building and operating AI infrastructure on a major cloud platform (AWS, GCP, or Azure). * Strong written and verbal communication, with the ability to explain AI system design to technical and non-technical stakeholders. * Fully remote position; reliable internet connection and an appropriate home office workspace required. Bonus Skills: * Background in a compliance-sensitive industry (insurance, fintech, legal) where regulated AI output and guardrails matter. * Experience operating LLM systems at high volume, with attention to latency, cost, and caching. * Familiarity with AWS Bedrock or similar managed AI platforms and agent runtimes. * Experience with model fine-tuning, customization, or distillation. * Contributions to open-source AI tooling or frameworks. ## Description * Agentic System Design: Design, build, and maintain production-grade agentic systems, multi-agent orchestration, specialist agents, and Human-in-the-Loop workflows, with context management, memory, and tool-calling. * MCP & Tool Integration: Develop MCP servers and tool integrations connecting AI agents to Teak's platform APIs and partner systems. * LLM Integration & Output Control: Orchestrate LLMs (Claude, GPT, Gemini, or similar) across the AI layer, selecting the right model per task and managing prompt and system-prompt strategies so agents present refund solutions in pre-approved, compliant language. * RAG & Knowledge Systems: Build RAG pipelines that ground agent responses in Teak's policy and product data, with versioning and isolation that prevent hallucination on compliance-sensitive topics. * Compliance & Safety: Implement guardrails that enforce compliant offer language, prevent unauthorized coverage claims, and meet regulatory requirements across Teak's markets. * Evaluation: Build evaluation frameworks to monitor, test, and continuously improve agent performance, reliability, and output quality. * AI Infrastructure & Observability: Build and operate AI infrastructure on AWS, with structured logging and tracing for auditability and rapid issue resolution. * Backend Development: Contribute to backend services, APIs, and platform improvements in Python alongside AI work, applying clean code, testing, and strong engineering fundamentals. * Collaboration & Code Quality: Participate in code reviews, document agent system design and integration patterns, take part in Agile workflows, and join the on-call rotation. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)