AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

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WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior/Lead AI Software Engineer (Full Stack) to build and scale intelligent, AI-driven products from concept to production in rapid iteration cycles. This role is pivotal in architecting end-to-end AI solutions—leveraging LLMs, RAG pipelines, vector databases, and Rust or Golang—to power high-performance, low-latency applications. You’ll shape scalable AI architectures, automate workflows, and drive innovation in a fast-growing environment that values ownership, speed, and technical excellence.

WHAT YOU WILL DO

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- Architect and develop robust, scalable AI-powered features across frontend and backend;

- Design and implement end-to-end AI solutions, from data ingestion to model integration and user-facing interfaces;

- Rapidly gather business and technical requirements and translate them into functional AI demos within 1–2 weeks;

- Integrate LLMs and AI services (e.g., APIs, vector databases, RAG pipelines) into production-ready applications;

- Work deeply in the existing web app codebase, enhancing core modules and integrating AI capabilities;

- Architect high-throughput, low-latency systems that scale reliably;

- Collaborate closely with Product, Design, and Engineering;

- Maintain high standards for documentation, testing, observability, and code quality;

- Lead technical initiatives to automate manual workflows using AI and improve system reliability.

MUST HAVES

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- 5+ years of full-stack development experience

- Experience in Rust or Golang

- 2+ years of AI/ML engineering experience building or integrating AI-driven systems

- AI-assisted code experience with tools such as GH Copilot, Cursor, or Windsurf

- Proven ability to gather ambiguous requirements and independently develop AI prototypes/demos within short timelines (1–2 weeks)

- Strong experience working with LLM APIs, prompt engineering, embeddings, and vector databases

- Experience designing scalable AI architectures (RAG, agents, model orchestration, evaluation pipelines)

- Proven ability to navigate and improve large, production-scale codebases

- Strong understanding of performance optimization, system design, and low-latency architectures

- Excellent communication and documentation skills in a fast-moving team environment

- Demonstrated experience deploying AI features into production environments

- Upper-intermediate English level

NICE TO HAVES

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- 2+ years of team lead/management experience

- Strong skills in Python

- Experience with CI/CD pipelines

- Experience with cloud platforms and AI tools such as Vertex on GCP, SageMaker, Bedrock from AWS, and similar ones

- Experience with AI frameworks/SDKs (LangChain, LlamaIndex, Hugging Face, etc.)

- Experience building AI agents or multi-agent systems

- Start-up mindset: comfortable experimenting, iterating quickly, and tackling ambiguous challenges

PERKS AND BENEFITS

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- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.

- Exciting projects: Modern solutions with Fortune 500 and top product companies.

- Flextime: Adaptable schedule with remote and office options.

Meet Our Recruitment Process

It includes main stages: Application → Coding Challenge → Video Interview → Technical Interview or Interview with the Hiring Manager(s). xqbhyrx Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer.

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📌 AI Software Engineer (Full Stack) (Madrid)
🏢 AgileEngine
📍 Madrid