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.
