> Markdown version of [/jobs/ext/588451-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/588451-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior 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), Knowledge-Based Systems, Open Source Technology, Search Technologies, Software Engineering, Systems Integration, Management of Software Versions, AI Infrastructure, Data Logging, Cloud Platform System, Large Language Models, Multi-Agent Systems, Core Api, Backend, AI Platforms, Information Technology, Low Latency, GPT - **Published:** June 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=73cb346f17147fe1 ## About the Role Do you have experience in Systems integration?, * 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 - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Insights from building the Canva Developers Platform to empower 185 million designers](https://www.wearedevelopers.com/videos/942-insights-from-building-the-canva-developers-platform-to-empower-185-million-designers) - [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) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)