We are seeking an innovative and skilled AI Developer to design develop and deploy autonomous AI agents capable of proactive decision-making goal-directed behavior and contextual adaptability. This role requires a deep understanding of AI planning reasoning and interaction mechanisms with experience in building modular agent-based systems for real-world tasks across domains such as enterprise automation research assistance and interactive applications.
Key Responsibilities:
- Design and implement intelligent autonomous software agents using LLMs and symbolic or hybrid architectures.
- Develop multi-agent systems that can collaborate negotiate and coordinate on complex workflows.
- Integrate APIs tools and services to enable tool-using capabilities in AI agents (e.g. browsing databases command-line tools).
- Implement memory planning and goal-management systems within agentic frameworks.
- Fine-tune or prompt-engineer large language models (e.g. GPT) to support agent behavior.
- Build environments for agent simulation testing and evaluation (e.g. ReAct AutoGPT-style frameworks).
- Collaborate with cross-functional teams to deploy agents into production systems.
- Monitor and optimize performance safety alignment and interpretability of agentic behaviors.
- Stay up-to-date with research trends in agent-based AI reinforcement learning and cognitive architectures.
Qualifications :
- Bachelors or Masters degree in Computer Science Artificial Intelligence or a related field.
- 4 years of experience in AI/ML development with agent-based or LLM-integrated systems.
- Proficiency in Python and relevant frameworks.
- Strong understanding of LLM APIs prompt engineering and embedding models.
- Experience with tools like vector databases graph stores and memory architectures.
- Familiarity with reinforcement learning cognitive architectures or planning systems is a plus.
Additional Information :
* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
Remote Work :
No
Employment Type :
Full-time
We are seeking an innovative and skilled AI Developer to design develop and deploy autonomous AI agents capable of proactive decision-making goal-directed behavior and contextual adaptability. This role requires a deep understanding of AI planning reasoning and interaction mechanisms with experience...
We are seeking an innovative and skilled AI Developer to design develop and deploy autonomous AI agents capable of proactive decision-making goal-directed behavior and contextual adaptability. This role requires a deep understanding of AI planning reasoning and interaction mechanisms with experience in building modular agent-based systems for real-world tasks across domains such as enterprise automation research assistance and interactive applications.
Key Responsibilities:
- Design and implement intelligent autonomous software agents using LLMs and symbolic or hybrid architectures.
- Develop multi-agent systems that can collaborate negotiate and coordinate on complex workflows.
- Integrate APIs tools and services to enable tool-using capabilities in AI agents (e.g. browsing databases command-line tools).
- Implement memory planning and goal-management systems within agentic frameworks.
- Fine-tune or prompt-engineer large language models (e.g. GPT) to support agent behavior.
- Build environments for agent simulation testing and evaluation (e.g. ReAct AutoGPT-style frameworks).
- Collaborate with cross-functional teams to deploy agents into production systems.
- Monitor and optimize performance safety alignment and interpretability of agentic behaviors.
- Stay up-to-date with research trends in agent-based AI reinforcement learning and cognitive architectures.
Qualifications :
- Bachelors or Masters degree in Computer Science Artificial Intelligence or a related field.
- 4 years of experience in AI/ML development with agent-based or LLM-integrated systems.
- Proficiency in Python and relevant frameworks.
- Strong understanding of LLM APIs prompt engineering and embedding models.
- Experience with tools like vector databases graph stores and memory architectures.
- Familiarity with reinforcement learning cognitive architectures or planning systems is a plus.
Additional Information :
* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
Remote Work :
No
Employment Type :
Full-time
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