Generative AI Engineer

Senior Data Scientist – LLM & RAG Innovation

We're looking for an experienced Data Scientist to join our team and lead the development of advanced ML models and enterprise-level LLM & RAG-based systems.

This is an exciting opportunity to work at the forefront of AI innovation—developing intelligent solutions using structured and unstructured data, including IoT, logistics, and more.

What You'll Do

• Develop ML models for time series, regression, and classification.
• Lead implementation of enterprise-grade RAG systems integrated with LLMs.
• Work with both out-of-the-box tools (Copilot Studio, Azure Search) and open-source frameworks.
• Process, analyze, and organize large-scale data from diverse sources (documents, DBs, APIs).
• Implement MLOps & LLMOps pipelines for model training, deployment, and monitoring.
• Optimize prompts, retrieval strategies, and grounding methods to boost LLM response quality.

What We're Looking For

Must-Have Technical Skills:

Relevant degree (CS, Software Eng., Data Science) or equivalent experience

3+ years in AI/ML development

Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Mistral, Cohere, Claude)

Experience with Vector Databases

Strong Data Engineering background – SQL/NoSQL, working with PDFs, JSON, CSV

Experience with LangChain / LlamaIndex

Cloud experience – Azure (preferred), AWS, or GCP, with services like Azure Foundry, Bedrock, or Vertex AI

Bonus: experience with Semantic Search, Hybrid Search, Re-ranking

Soft Skills & Bonus Points

• Proven problem-solving skills in complex data and system environments
• Team player with the ability to collaborate closely with Data Scientists, Engineers, and DevOps
• Strong understanding of Prompt Engineering, Chain of Thought (CoT) methodologies
• Passion for exploring cutting-edge AI technologies and delivering real business impact

Be a part of a groundbreaking AI journey!