Senior Python Engineer – AI Agents, LLM Systems
Location
Spain
Posted
15 days ago
Salary
0
Seniority
Senior
Job Description
Senior Python Engineer – AI Agents, LLM Systems
INNOCV Solutions
• Designing and implementing AI solutions aligned with business needs and technological standards. • Applying techniques like Retrieval-Augmented Generation (RAG) to improve the precision and relevance of AI interactions. • Developing Agentic RAGs, incorporating autonomous agents to refine data retrieval and content generation. • Creating 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 text generation and question answering. • Designing and managing data ingestion pipelines, and 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. • Collaborating with designers and product teams to ensure AI solutions meet real business and user needs, while maintaining innovation through continuous research and experimentation.
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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