> Markdown version of [/jobs/ext/3577398-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3577398-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:** Harnham Inc. - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Mobile Application Development, Continuous Integration, Programming Tools, Django Web Framework, Human-Computer Interaction, Information Extraction, Python (Programming Language), Machine Learning, Next.js, Search Technologies, Software Engineering, Feature Store, Chatbots, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Claude Code, Backend, Agentic-AI, Fastapi, Front End Software Development, Api Design, Restful APIs, Data Pipelines, Databricks - **Published:** October 4, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pechy86v9t ## About the Role * 8+ years of software engineering experience * Strong full-stack development experience across frontend and backend * Strong React/Next.js + Python skills * Hands-on experience shipping LLM, RAG or agentic AI solutions into production * Experience building APIs and data-intensive applications * Databricks/Lakehouse experience is a strong plus * AWS or Azure cloud experience * Strong product mindset with genuine end-to-end ownership This is ideal for an experienced Software Engineer who has moved heavily into AI-native development and wants to build real-world AI products rather than research or proof-of-concept work. If you're a strong Full Stack Engineer with hands-on production experience across LLMs, RAG and AI agents, I'd love to connect. ## Description I'm hiring a Full Stack AI Engineer to build enterprise-grade applications across GenAI, RAG, AI agents and machine learning. This is a genuinely end-to-end engineering role, working across frontend, backend, data and AI. You'll partner with Data Scientists, Data Engineers and Product teams to take AI capabilities from concept through to scalable, production-ready applications. What you'll be doing * Build full-stack AI applications using React/Next.js and Python * Develop and productionize RAG pipelines, AI agents and agentic workflows * Build conversational AI, semantic search, document intelligence and automated workflows * Develop backend services and RESTful APIs using FastAPI, Flask, Django or similar * Integrate applications with Databricks, data pipelines, feature stores and ML model endpoints * Own solutions across the full lifecycle, from data pipeline and backend through to the user interface * Use modern AI development tools such as Claude Code, Codex and Augment Code * Maintain strong engineering standards across testing, CI/CD, security and observability