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Tech Stack
Tools & technologiesChefDockerKubernetesPython
About the role
Key responsibilities & impact- Chief Conductor of AI Innovation
- Steering AI strategy
- Management and leadership of AI teams
- Architecture and development of AI solutions
- Industrialization, MLOps and scaling
- Product integration and omnichannel
- Cross-functional facilitation and technology watch
Requirements
What you’ll need- Master of LLMs: Deep expertise in advanced Prompt Engineering, Fine-tuning (PEFT/LoRA) and using APIs (OpenAI, Anthropic, Mistral).
- Dev & Frameworks: Expert-level Python. Proficient with modern GenAI frameworks: LangChain, LlamaIndex, Haystack.
- Vector Database: Proven experience with vector databases, ideally Qdrant (or Weaviate/Pinecone).
- Modern Stack: Comfortable with FastAPI, Docker, Kubernetes and CI/CD pipelines.
- Agent Ecosystem: Experience building and deploying agents using n8n, LangGraph or CrewAI.
- Integrations: Able to connect third-party APIs (Twilio, Salesforce, etc.).
Benefits
Comp & perks- Remote work days depending on role
- 5 paid company closure days
- Meal vouchers
- Activities and offers organized by our Works Council (CSE)
- Profit-sharing bonus
- Company events and parties
- On top of that, you may receive Studi training content during your career!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Prompt EngineeringFine-tuningPythonLangChainLlamaIndexHaystackvector databasesFastAPIDockerKubernetes
Soft Skills
leadershipmanagementcross-functional facilitation
Certifications
Master of LLMs