Remote AI Engineer – Agentic AI Specialist

Description:

• Inetum is seeking a skilled and forward-thinking AI Engineer – Agentic AI Specialist to join their growing AI team.
• The role involves designing and implementing cutting-edge Agentic AI solutions, including autonomous AI agents powered by large language models (LLMs).
• Responsibilities include developing solutions that enable autonomous decision-making and intelligent behavior in business systems.
• The candidate will work extensively with LLMs to build robust AI agents and integrate them into production-grade applications.
• Collaboration with the Business AI Transformation Consultant is required to understand business requirements and translate them into scalable AI implementations.
• The role also involves staying current with emerging trends and research in Agentic AI, multi-agent systems, and LLM-driven architectures.
• The candidate must write clean, maintainable, and secure code, following best practices for testing, versioning, and documentation in enterprise environments.
• System optimization for performance, cost-efficiency, and robustness of AI systems is also a key responsibility.

Requirements:

• A Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field is required.
• A Master’s degree is preferred for deeper specialization in AI or machine learning.
• A minimum of 5 years of hands-on experience in AI/ML development, specifically with Agentic AI, multi-agent systems, or autonomous AI agents is necessary.
• Strong programming skills in Python are required, along with experience using ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Practical experience working with LLMs (e.g., OpenAI, Anthropic, Cohere) and frameworks for AI agent development (e.g., LangChain, AutoGPT, CrewAI) is essential.
• A solid understanding of software development life cycles (SDLC), CI/CD pipelines, and DevOps principles for AI deployments is required.
• Experience with vector databases (e.g., Pinecone, FAISS) and retrieval-augmented generation (RAG) pipelines is necessary.
• Familiarity with cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI) and containerization (Docker, Kubernetes) is required.
• Knowledge of enterprise-grade security and compliance practices for deploying AI systems is essential.
• Prior involvement in AI research or contributions to open-source Agentic AI projects is a plus.

Benefits:

• Employees will have full access to a foreign language learning platform.
• Personalized access to tech learning platforms will be provided.
• Tailored workshops and training sessions will be available to support employee growth.
• Medical insurance is included as part of the benefits package.
• Meal tickets will be provided to employees.
• A monthly budget will be allocated for a flexible benefits platform.
• Employees will have access to 7 Card services.
• Wellbeing activities and gatherings will be organized for employees.
• The position offers a remote working mode.