AI Engineer, Inetum

Inetum

Location:
Romania, Bucharest

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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

Additional Information:

Job Posted:
October 14, 2025

Employment Type:

Fulltime

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AI Engineer