Python AI Engineer
Location
Spain
Posted
1 day ago
Salary
0
Seniority
Senior
Job Description
Python AI Engineer
INNOCV Solutions
• 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. • Developing 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. • 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. • Performance optimization includes analyzing system performance, detecting bottlenecks, and implementing caching strategies to improve response times. • Emphasizing 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.
Job Requirements
- 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.
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.
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