> Markdown version of [/jobs/ext/3624394-artificial-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/3624394-artificial-intelligence-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). --- # Artificial Intelligence Engineer - **Company:** Thrively - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, AI Evaluation, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Software Applications, Django Web Framework, Python (Programming Language), PostgreSQL, Machine Learning, Natural Language Processing, OpenAI, Web Applications, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Vector Embeddings, Generative AI, Agentic-AI, Machine Learning Operations - **Published:** October 8, 2026 - **Apply:** https://www.disabledperson.com/jobs/75884632-artificial-intelligence-engineer ## About the Role * 5+ years of experience in AI, Machine Learning, NLP, or related engineering environments * Strong Python development experience, ideally within modern web application environments * Experience working with frameworks and technologies such as Django, React, and PostgreSQL * Hands-on experience building and deploying AI-powered applications into production environments * Deep familiarity with LLM ecosystems, prompt engineering, evaluation workflows, and fine-tuning strategies * Experience leveraging OpenAI, Anthropic, or similar AI APIs in production use cases * Experience with agentic AI frameworks such as LangChain, LangGraph, Pydantic AI, or similar technologies * Experience implementing RAG architectures, vector embeddings, and vector databases * Familiarity with end-to-end MLOps practices including deployment, monitoring, experimentation, and evaluation * Experience operating within Agile product and engineering teams What Makes Someone Successful Here: * Strong problem-solving instincts in fast-moving and ambiguous environments * Ability to make thoughtful decisions with incomplete information * Genuine curiosity around how systems work under the hood * Excellent communication and collaboration skills * Team-first mindset with low ego and high ownership * Passion for building products that create meaningful customer impact ## Description * Build AI-powered agent and chat capabilities that help customers operate and grow their businesses more efficiently * Design and deploy scalable AI infrastructure and pipelines supporting real-time interactions in production * Develop and optimize Retrieval Augmented Generation (RAG) workflows, vector embeddings, and vector database integrations * Prototype, evaluate, and iterate on AI features using customer feedback and performance data * Partner cross-functionally with Product, Design, and Engineering leadership on strategic product initiatives * Contribute to architecture decisions, experimentation frameworks, and AI evaluation methodologies * Help establish best practices around MLOps, deployment, monitoring, observability, and model evaluation