Python Engineer – AI Agents, LLM Systems

🕒 May 13

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

INNOCV Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

INNOCV Solutions is a Spain-based technology company and software development consultancy that builds web and AI-driven solutions for clients. The company provides frontend, backend and full-stack development services and works on conversational and LLM-based AI systems (e. g. , DialogFlow, AI agents), while also hiring for product design, marketing and presales roles. INNOCV emphasizes a remote-first, sustainable workplace culture with benefits for professional development and employee wellbeing.

📋 Description

• 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.

🎯 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. • (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.