[Hiring] Senior Python Engineer – AI Agents & LLM Systems @INNOCV Solutions S.L.U.

Role Description

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.
• Developing Agentic RAGs, which incorporate autonomous agents to refine data retrieval and content generation.
• Creating AI agents and agent networks capable of solving complex problems and interacting with each other.
• Using tools such as LangChain to create modular architectures for agents specializing in tasks like information retrieval, contextual inference, and data-driven decision-making.
• Leveraging Large Language Models (LLMs) such as Gemini and Llama for tasks like text generation and question answering, with added security measures to ensure appropriate content.
• Designing and managing data ingestion pipelines, implementing serverless architectures and Pub/Sub models to scale data intake.
• Using DevOps and MLOps practices for automating the deployment and management of AI models.
• Integrating APIs to connect AI models with external systems and to register events and metadata.
• Optimizing performance by analyzing system performance, detecting bottlenecks, and implementing caching strategies to improve response times.
• Collaborating 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.

Qualifications

• 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).

Benefits

• Remote work.
• Flexible hours.
• Special timetable: Fridays and summer 7h.
• Individual budget for attending forums and training.
• English classes.
• Health insurance.
• 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.