AI Scientist
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We are seeking an experienced and forward-thinking AI Scientist to join our dynamic team.
The ideal candidate possesses a strong background in applied AI, particularly with large language models (LLMs), and excels in designing, implementing, and optimizing advanced conversational AI systems. This role blends cutting-edge research with hands-on production implementation, ensuring that innovative solutions reach real-world applications.
Responsibilities
The ideal candidate possesses a strong background in applied AI, particularly with large language models (LLMs), and excels in designing, implementing, and optimizing advanced conversational AI systems. This role blends cutting-edge research with hands-on production implementation, ensuring that innovative solutions reach real-world applications.
Responsibilities
- Design and implement advanced LLM-driven conversational AI systems, including personas and role-play scenarios
- Evaluate and compare LLM models like LLaMA 3, Qwen, and DeepSeek to determine suitability for turn-based and real-time communication
- Develop and optimize prompts, fine-tune models using frameworks like Hugging Face Transformers, and ensure production scalability
- Collaborate on integrating cloud solutions, utilizing Azure OpenAI services and AWS Bedrock, to deploy low-latency, efficient solutions
- Implement Text-to-Speech and Speech-to-Text capabilities using APIs from providers like Azure, ElevenLabs, or similar
- Utilize knowledge of multimodal models, including voice-to-voice systems, to enhance conversational AI solutions
- Ship research-driven innovations into production systems by coding and iterating with Python
- Design and maintain communication pipelines leveraging REST APIs and WebSockets
- Work on safeguarding conversational systems, addressing challenges like quality assurance and cost management
- Monitor and incorporate the latest scientific publications to identify and apply state-of-the-art models for practical use
- At least 3 years of production experience working with LLMs, from implementation to optimization
- Solid Python programming skills, along with expertise in Hugging Face Transformers and one of the following libraries: LangChain or LlamaIndex
- Extensive knowledge of LLM functionality, prompt engineering, fine-tuning, and comparative model analysis, including versions like LLaMA 3, Qwen, and Claude
- Hands-on understanding of the Azure OpenAI stack, including deployments, hubs, and AI Studio, as well as AWS Bedrock
- Proficiency in working with multimodal AI models and their applications, especially in voice-based systems
- Background in Text-to-Speech and Speech-to-Text models and APIs from providers like Azure or ElevenLabs
- Experience with REST APIs and WebSockets to ensure low-latency communication
- Fluency in Polish, the team's mandatory communication language
- Practical experience developing chatbots or voicebots on innovative technological stacks
- Exposure to training proprietary Transformer-based models and implementing them in production environments
- Capability to fine-tune LLMs using advanced AI libraries for specific, real-world applications
- Familiarity with AI agent frameworks like Langraph or Crew.Ai
- Interest in staying abreast of the latest trends in AI, model advancements, and applications through research and experimentation
- We gather like-minded people:
- Engineering community of industry professionals
- Friendly team and enjoyable working environment
- Flexible schedule and opportunity to work remotely within Poland
- Chance to work abroad for up to 60 days annually
- Business-driven relocation opportunities
- We provide growth opportunities:
- Outstanding career roadmap
- Leadership development, career advising, soft skills, and well-being programs
- Certification (GCP, Azure, AWS)
- Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
- English classes
- We cover it all:
- Stable income (Employment Contract or B2B)
- Participation in the Employee Stock Purchase Plan
- Benefits package (health insurance, multisport, shopping vouchers)
- Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
- Referral bonuses
- Corporate, social and well-being events
- Please, note:
- The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview.
- We will reach out to selected candidates exclusively.