AI Engineer

• 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

Qualifications :

• 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

Additional Information :

Benefits:

• 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

Remote Work :

Yes

Employment Type :

Full-time