> Markdown version of [/jobs/ext/2939106-ai-engineer-generative-ai-remote](https://www.wearedevelopers.com/jobs/ext/2939106-ai-engineer-generative-ai-remote). 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 - Generative Ai (Remote) - **Company:** Hire Feed - **Location:** Nava, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Python (Programming Language), Machine Learning, Performance Tuning, Software Engineering, SQL Databases, Large Language Models, Prompt Engineering, Generative AI, GPT - **Published:** September 16, 2026 - **Apply:** https://www.buscojobs.com.es/ai-engineer-generative-ai-remote-en-nava-ID-372122120 ## About the Role Proficient in Python and SQL for AI system development Experience with LangChain and modern LLM frameworks Deep understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows Background in machine learning or software engineering with system-level thinking Experience working with cloud platforms such as AWS, Azure, or GCP Ability to work independently while collaborating effectively across teams Excellent communication and stakeholder management skills ## Description Role: AI Engineer - Generative AI (Remote)Location: Remote (Work from Anywhere)Role Overview:We are hiring for one of our clients, seeking a Senior LLM Engineer to work on a full-time basis.This hands-on engineering role focuses on designing, building, and deploying generative AI and LLM-based solutions.The position requires deep technical proficiency in Python and modern LLM frameworks, with contributions to roadmap development and cross-functional collaboration.Key Responsibilities:Design and develop generative AI and LLM-based systems using tools such as LangChain and retrieval-augmented generation (RAG) pipelinesImplement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutionsCollaborate with the engineering team to shape and drive the technical roadmap for LLM initiativesTranslate business needs into scalable, production-ready AI solutionsContribute to architecture discussions, code reviews, and performance optimizationRequired Skills & Qualifications:Proficient in Python and SQL for AI system developmentExperience with LangChain and modern LLM frameworksDeep understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflowsBackground in machine learning or software engineering with system-level thinkingExperience working with cloud platforms such as AWS, Azure, or GCPAbility to work independently while collaborating effectively across teamsExcellent communication and stakeholder management skillsMore About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of advanced AI solutions.The position involves close collaboration with business SMEs and data teams to ensure alignment of AI models with real-world use cases.Equal Opportunity Employer:We hire based on skills and expertise.All qualified candidates are welcome regardless of background, experience, or prior employment history.Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now! ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [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) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) ## 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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [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) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try)