AI Engineer
Job Description
- 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
- turn conversations, prompt chaining, and
- 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
- 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,
- shot and
- shot learning, and
- turn conversations - Knowledge of prompt templates, system instructions, and
- based prompting - Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
- Familiarity with
- 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 Open
AI 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 Open
AI, Azure Open
AI, 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
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
- Informații detaliate despre oferta de muncă
Firma: Inetum Localiția: Bucureşti
Bucharest, Bucharest, RomaniaAdăugat: 15. 10. 2025
Postul de muncă activ
Fii primul, care se va înregistra la oferta de muncă respectivă!