Python Engineer – AI Agents, LLM Systems

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INNOCV Solutions

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51 - 200 Mitarbeiter

💼 Beratung

📦 Logistik

🏥 Gesundheitswesen

Consulting • Logistics • Healthcare

INNOCV Solutions ist ein in Spanien ansässiges Technologieunternehmen und eine Software-Entwicklungsberatung, die webbasierte und KI-gesteuerte Lösungen für Kunden entwickelt. Das Unternehmen bietet Frontend-, Backend- und Full-Stack-Entwicklungsdienstleistungen an und arbeitet an conversationalen und LLM-basierten KI-Systemen (z. B. DialogFlow, KI-Agenten), während es auch Stellen für Produktdesign, Marketing und Presales besetzt. INNOCV betont eine Remote-First, nachhaltige Arbeitsplatzkultur mit Vorteilen für die berufliche Entwicklung und das Wohlbefinden der Mitarbeiter.

Beschreibung

• Designing and implementing AI solutions aligned with business needs and technological standards. • Applying techniques like Retrieval-Augmented Generation (RAG) to improve AI interactions. • Developing Agentic RAGs to refine data retrieval and content generation. • Creating modular architectures for agents specializing in various tasks. • Leveraging Large Language Models (LLMs) for tasks like text generation. • Managing data ingestion pipelines and implementing serverless architectures. • Using DevOps and MLOps practices for automating AI model deployment. • Analyzing system performance and implementing optimization strategies. • Collaborating with designers and product teams to ensure solutions meet user needs.

🎯 Anforderungen

• 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).

🏖️ Vorteile

• 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.