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Inetum Logo Inetum · IT - Software Development

AI Engineer

Romania, Bucharest · Job Posted October 14, 2025
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Job Description

AI Engineer position at Inetum, a European leader in digital services, focusing on developing and optimizing prompts for LLMs, designing prompt strategies, building AI agent systems, and integrating prompt engineering into enterprise solutions.

Job Responsibility

  • Develop, refine, and optimize prompts for LLMs (GPT-4, Gemini, Claude, Llama, Mistral) to support a variety of tasks such as text generation, summarization, Q&A, and code generation
  • Design and implement prompt strategies for multi-turn conversations, prompt chaining, and role-based instructions
  • Build and coordinate groups of AI agents (multi-agent systems) for collaborative or competitive tasks using frameworks such as Lang Chain, Crew AI, or Auto Gen
  • Upgrade existing prompts while releases and solutions set evolve
  • Evaluate and improve the effectiveness of prompts and agent workflows through iterative testing, A/B experimentation, and performance analysis
  • Collaborate with cross-functional teams (developers, data scientists, product managers) to integrate prompt engineering and agentic workflows into enterprise solutions
  • Ensure compliance with data privacy, security, and regulatory standards (GDPR, NIS2) in all prompt and agent designs
  • Document prompt strategies, agent architectures, and best practices for internal knowledge sharing and training
  • Ensure provided solutions are ready for production, documented and monitored ensuring consistent delivery and quality

Requirements

  • Minimum 3 to 5 years of experience in AI solutions deployment in enterprise environments
  • Understanding of how LLMs (GPT-4, Gemini, Claude, Llama, Mistral AI) work, their capabilities, and limitations
  • Familiarity with model architecture, tokenization, context windows, and prompt formatting
  • Crafting effective prompts for various tasks (text generation, summarization, Q&A, code generation, images and sound manipulations)
  • Techniques for prompt chaining, few-shot and zero-shot learning, and multi-turn conversations
  • Knowledge of prompt templates, system instructions, and role-based prompting
  • Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
  • Familiarity with multi-agent systems, agent orchestration, and agentic workflows (e.g., using frameworks like Lang Chain, Crew AI, Auto Gen)
  • Ability to design, prompt, and coordinate groups of AI agents for collaborative or competitive tasks
  • Knowledge of agent communication, delegation, and task decomposition
  • Knowledge of data acquisition protocols like MCP
  • Understanding of NLP concepts such as intent detection, entity recognition, sentiment analysis, and text classification
  • Awareness of biases, hallucinations, and ethical considerations in AI-generated content
  • Proficiency in Python (most common for AI workflows), and familiarity with libraries such as Lang Chain, Hugging Face Transformers, and OpenAI API
  • Ability to automate prompt testing, evaluation, and deployment
  • Methods for evaluating prompt effectiveness (accuracy, relevance, coherence)
  • Techniques for prompt refinement, iterative testing, and A/B experimentation
  • Experience with platforms like OpenAI, Azure OpenAI, Google Vertex AI, AWS Bedrock, and Hugging Face
  • Familiarity with model deployment, API integration, and workflow orchestration
  • Understanding of data protection regulations (GDPR, NIS2) and responsible AI practices
  • Awareness of risks related to sensitive data in prompts and outputs

What we offer

  • Full access to foreign language learning platform
  • Personalized access to tech learning platforms
  • Tailored workshops and trainings to sustain your growth
  • Medical Insurance
  • Meal tickets
  • Monthly budget to allocate on flexible benefit platform
  • Access to 7 Card services
  • Wellbeing activities and gatherings
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