Python ML_GenAI Engineers

Position Overview:

• We are on the lookout for a Junior AI Engineer who will be responsible for the design, construction, and deployment of enterprise-level Generative AI applications, utilizing cloud-native architectures and contemporary LLM ecosystems.
• The perfect candidate will possess a solid foundation in data engineering, paired with specialized knowledge in Retrieval Augmented Generation (RAG) workflows and AI service integration.

Core Responsibilities:

• Design and implement GenAI applications using Python and enterprise LLM platforms.
• Develop scalable data pipelines for processing both structured and unstructured data.
• Execute systems based on Retrieval Augmented Generation (RAG) and vector-based search solutions.
• Integrate LLMs with enterprise applications through APIs and workflows.
• Create cloud-native AI services on platforms such as AWS, Azure, GCP, Databricks DBRX, or Snowflake.
• Develop agent-based solutions utilizing LangChain and LangGraph.
• Ensure adherence to data quality governance and security compliance throughout AI workflows.
• Enhance performance, scalability, and reliability of AI solutions.

Technical Skills Required:

• Proficiency in 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, and AI coding assistants.
• Advanced Skill Set
• Expertise in RAG data pipelines, LLM data integration, AI service integration, scalable AI deployments, agent orchestration, tool calling, LangGraph, and LangChain.

Additional Qualifications:

• A minimum of 1 year of experience with platforms such as Hugging Face, LangChain, OpenAI, Anthropic, Gemini, or open-source LLMs.
• Understanding of knowledge graphs and semantic search techniques.
• Experience in developing production-grade Generative AI solutions.

Desired Skills:

Technology->AI-Data science->Machine Learning, Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)