Generative AI Engineer

We're looking for Generative AI Engineers!
Responsibilities:
Design and develop GenAI applications using Python and enterprise LLM platforms.
Build scalable data pipelines for structured and unstructured data processing.
Implement Retrieval-Augmented Generation (RAG) systems and vector-based search solutions.
Integrate LLMs with enterprise applications through APIs and workflows.
Develop cloud-native AI services on AWS, Azure, GCP, Databricks (DBRX), or Snowflake.
Create agent-based solutions using LangChain and LangGraph.
Ensure data quality, governance, and security compliance across AI workflows.
Optimize performance, scalability, and reliability of AI solutions.
Skills Required:
Hugging Face, LangChain, OpenAI, Anthropic, Gemini, or open-source LLMs.
Familiarity with knowledge graphs and semantic search.
Building production-grade GenAI solutions
Python, SQL, ETL/ELT, Data Modeling, Data Quality, Cloud-native Development, API Integration, Data Engineering, ETL, Document Processing, Workflow design, knowledge of LLM development, RAG, Prompt Engineering, AI Coding Assistants
(Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.)

Skills
Generative AI, Python, AWS, Azure, GCP, SQL, Snowflake, Databricks, Data Modeling, ETL

Work arrangement
Hybrid