> Markdown version of [/jobs/ext/2213300-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2213300-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). --- # AI Engineer - **Company:** Spektr, LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Python (Programming Language), Machine Learning, Open Source Technology, TypeScript, Large Language Models, Backend, Containerization, AI Platforms, Kubernetes, Automation Anywhere - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pecg90r19h ## About the Role * The Product Mindset: You are a product person at heart. You care about whether the AI actually solves the user's problem, not just if the loss curve is going down. * High-Agency Builder: You prefer building systems over following manuals. You identify bottlenecks in our AI workflows and fix them before they become tickets. * AI/ML Expertise: 2+ years of experience in ML, AI, or Data/Backend roles with a deep understanding of modern LLM stacks. * Technical Mastery: Strong skills in TypeScript (our core) and/or Python, with hands-on experience in frameworks like LangChain or equivalent orchestration layers. * RAG & Vector Mastery: You've built production-grade RAG pipelines and understand the nuances of embedding, retrieval strategy, and re-ranking. * Evaluation Obsession: You understand that "it works on my machine" doesn't apply to LLMs. You have experience setting up evaluation frameworks to measure and improve model performance. * Cloud & Scale: Experience deploying AI services in AWS or containerized environments, ensuring they are scalable and cost-effective. * Communication: You can explain the trade-offs of a specific model architecture to a founder and a technical bottleneck to a peer with equal clarity. ## Description We are looking for an AI Engineer who is, first and foremost, a product builder. In this role, you won't just be running experiments in a notebook; you will own the end-to-end AI strategy and its direct impact on our customers. In this role, you will own everything related to AI, LLMs, and intelligent automation. This is a high-impact role in a fast-growing company. We are looking for someone who thrives in a dynamic environment, loves solving complex compliance puzzles, and is eager to shape the next generation of compliance technology. What You Will Be Doing AI Strategy & Ownership: Own the end-to-end AI roadmap-from selecting the right models (SOTA commercial vs. fine-tuned open source) to deciding how they are integrated into the product core. Agentic Feature Design: Design and deploy LLM-powered features including autonomous agents, advanced RAG pipelines, and intelligent document understanding. Product-Led AI: Collaborate directly with founders to translate complex compliance "puzzles" into scalable AI solutions. You own the "Why" behind every model choice. Continuous Innovation: Stay at the bleeding edge of AI/ML research, proactively identifying new papers or releases that can give spektr a competitive advantage. Engineering for Reliability: Turn non-deterministic AI outputs into deterministic product value. You ensure our agents are accurate, explainable, and hallucination-free., * Models: OpenAI, Anthropic, Google Gemini, and Open Source (LLaMA, Mistral). * Stack: TypeScript, Python, LangChain, etc * Infra: AWS, Kubernetes, CI/CD for LLMs. ## 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) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) - [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) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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)