Low-code GenAI Developer @ AVENGA (Agencja Pracy, nr KRAZ: 8448)
(práce v Polsku)

Low-code GenAI Developer @ AVENGA (Agencja Pracy, nr KRAZ: 8448)

Polsko

• Minimum 4 years of hands-on data science or software engineering experience
• Deep understanding of with LLMs, agents and foundation models
• Familiarity with enterprise applications like SAP, SFDC, Copilot Studio or Power Platforms and their AI offerings
• Proficiency in Python and CI/CD practices
• Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines
• Experience with MLOps, cloud infrastructure (AWS/GCP/Azure), and model deployment tools for LLM-based systems.

Location: Wroclaw (hybrid, preferred) or remote

Seniority: 4+ years of experience Open to candidates with 2+ years of experience (regular) 

What we offer:

• Deep understanding of the domain knowledge in the field of molecular biology and biotechnology
• Exposure and hands on experience in the development of modern cloud data solutions
• Ability to deliver AI and ML solutions at scale
• Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers and stakeholders from different business domains
  

,[Low-code design of GenAI solutions: Design, finetune and evaluate GenAIs solution on proprietary data to meet business needs, Prompt Engineering: Craft, test, and optimize prompts to improve model outputs, GenAI Integration: Deploy and integrate LLMs into low-code platforms including agentic solutions, RAG, chatbots, designing APIs, latency/throughput optimization, and monitoring., Research & Experimentation: Stay up-to-date with state-of-the-art LLM architectures and techniques, and evaluate their application for internal use cases., Stakeholder Collaboration: Collaborate with product, data, and engineering teams to translate business problems into LLM-powered solutions and communicate model limitations or trade-offs effectively.] Requirements: Use cases, Data science, SAP, Power Platform, AI, Python, MLOps, Cloud, AWS, GCP, Azure, Machine learning Tools: . Additionally: Training budget, Flat structure, International projects, Integration events, Insurance, Multisport card, Cafeteria system, Friendly atmosphere, Bike parking, Free coffee, Free snacks, Free beverages, Modern office.

Kategorie

artificialIntelligence

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