- We are seeking a Junior AI Engineer to design build and deploy enterprise grade Generative AI applications leveraging cloud native architectures and up-to-date LLM ecosystems
- The ideal candidate will have strong data engineering foundations combined with expertise in Retrieval Augmented Generation RAG agentic workflows and AI service integration
Key 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
Technical Requirements:
- 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
Additional Responsibilities:
- 1 years of experience with Hugging Face LangChain OpenAI Anthropic Gemini or open source LLMs
- Familiarity with knowledge graphs and semantic search
- Experience building production grade GenAI solutions