Alkemy→
Python AI Engineer at Alkemy in Madrid, Community of Madrid, ES
Skills
Job Description
Who are we?
We are part of the Alkemy Group, specializing in driving growth through our technological expertise, tackling complex challenges, and fostering operational excellence.
- We are digital natives and technology-neutral thanks to our rapid adaptation capabilities and problem-solving skills in any business situation.
- We are passionate about technology challenges that have a significant impact on business. To address these, we have high-performance teams and the ability to quickly and effectively combine technologies.
- We support our clients in their digital evolution to achieve maximum efficiency in their businesses, leveraging our extensive multi-sector experience.
We invite you to get to know us in depth by exploring the various sections of our website.
What will you do?
The work involves designing and implementing AI solutions aligned with business needs and technological standards. It includes applying techniques like Retrieval-Augmented Generation (RAG) to improve the precision and relevance of AI interactions, as well as developing Agentic RAGs, which incorporate autonomous agents to refine data retrieval and content generation. The development of AI agents and agent networks, capable of solving complex problems and interacting with each other, is central to the process. Tools such as LangChain are used to create modular architectures for agents specializing in tasks like information retrieval, contextual inference, and data-driven decision-making. Large Language Models (LLMs) such as Gemini and Llama are leveraged for tasks like text generation and question answering, with added security measures to ensure appropriate content.
Additionally, the work involves designing and managing data ingestion pipelines, implementing serverless architectures and Pub/Sub models to scale data intake, and using DevOps and MLOps practices for automating the deployment and management of AI models. APIs are integrated to connect AI models with external systems and to register events and metadata. Performance optimization includes analyzing system performance, detecting bottlenecks, and implementing caching strategies to improve response times. The strategy also emphasizes collaboration with designers and product teams to ensure AI solutions meet real business and user needs, while maintaining innovation through continuous research and experimentation with new AI technologies.
What do we value?
We know this is a lot !😅 This is what we’re ideally looking for, but we’re sure your experience can still bring a lot of value. So don’t rule yourself out! And if you’re not familiar with some of these tools or don’t have direct experience yet, this is still the right place to learn and grow 🚀.
- Advanced Python development skills.
- Proven experience with Hybrid AI / RAG architectures and state-of-the-art LLMs (commercial: OpenAI, Gemini; open-source: Llama 2, Mistral).
- Hands-on experience with orchestration frameworks such as LangChain, LlamaIndex, Rasa, or Haystack.
- Strong understanding of classical Machine Learning for prediction and anomaly detection.
- Experience with Docker, Linux, and hybrid cloud environments (Azure, GCP) including on-prem deployments.
- Proficiency in SQL and NoSQL databases, with focus on optimization and data retrieval for RAG and model pipelines.
- Strong background in API design and integration (REST), including data anonymization/encryption, authentication, and access control.
- Familiarity with MLOps tools and practices (Git/GitHub, MLflow or equivalents) for versioning, tracking, and monitoring models.
- Understanding of data quality, governance, and reporting (KPIs) within AI solutions.
- Experience with Azure Databricks for scalable data processing, model training, and deployment workflows (ETL, Spark, Delta Lake, MLflow integration).
- Experience with Azure Purview for data cataloging, governance, lineage, and ensuring compliance (GDPR, data classification, policies).
- Excellent collaboration skills and ability to deliver quick, high-impact solutions across teams.
- (Nice to have) Experience in RPA and process automation, e.g., Power Automate.
- (Additional conditions) Compliance with NDA and GDPR, IP ownership for the client, and service continuity (equivalent replacement if required).
If you are someone who likes to stay updated on the latest trends, is eager to try new technologies, and enjoys finding alternative ways to do things, this is the place for you. If you consider yourself a team player who advocates for Fair Play above all... a team is waiting for you!
What do we offer you?
In this company, you can be yourself and work with colleagues equally passionate about technology and innovation, ready to support you at all times. We want to see you evolve and grow with us. To that end, we invest in your professional development with training, tech breakfasts, and attendance at forums. We are advocates of continuous learning, which is why we provide a personal budget for staying up to date with market trends.
We care about well-being and happiness at work, which is why we listen to needs to offer the best working conditions in a unique human environment. Due to the emphasis we place on flexibility and work-life balance, we won the Madrid Flexible Company Award in 2020 and received an honorable mention in 2022.
This is a WIN-WIN, and we have 42 benefits to offer you, but here are some highlights:
💡 Professional Training & Certifications
⏰ Flexible hours
👏 Special timetable: Fridays and summer 7h.
🏖️ Every three years, 6 extra days off.
🎁 Day off on your birthday
🗣️ Bring a friend and benefit from it
🥳 Flexible compensation
🧘♂️ Wellness - Gympass
🌳 Volunteering opportunities
🎊 Company events and team buildings
To learn more about us, the protagonists of INNOCV will share more about the company.
If you identify with our work philosophy and share our passion for INNOvation and Code Vocation, we want to meet you!
Loyal to our commitment with diversity and inclusion, we encourage everybody to apply, especially those belonging to underrepresented groups such as LGTBIQ+ members and those with disabilities.