Mid-Level AI Engineer

About the Role

We are looking for a Mid-Level AI Engineer with a strong foundation in Python and hands-on experience in Generative AI, Retrieval-Augmented Generation (RAG), and LLM-based NLP systems. This role involves integrating advanced AI features into real-world products using tools such as LangChain, LangGraph, and vector databases.

️ Key Responsibilities

• Develop and maintain generative AI pipelines and RAG systems using LangChain and LangGraph.

• Build, fine-tune, and optimize LLM/NLP models for use in internal tools and customer-facing applications.

• Preprocess data and manage embedding workflows with vector stores such as Pinecone or Milvus.

• Monitor AI performance, ensure pipeline observability, and implement logging and alerting mechanisms.

• Collaborate with product managers, engineers, and designers to ensure seamless AI feature integration.

• Continuously explore new LLM technologies, frameworks, and optimization techniques.

Qualifications

• 2+ years of experience in Python-based AI/ML development.

• Strong knowledge of LLMs, NLP, and generative AI tools such as OpenAI or Hugging Face Transformers.

• Hands-on experience in RAG architecture and vector databases (e.g., Milvus, Pinecone, FAISS).

• Familiarity with LangChain and LangGraph or similar LLM orchestration frameworks.

• Ability to translate business problems into production-ready AI solutions.

• Fast learner with a passion for applied AI and experimentation with emerging technologies.