AI Engineer

Core Responsibilities :

Key Responsibilities

 Design, build, and optimize AI systems using LLMs and open-source frameworks.  Implement retrieval-augmented generation (RAG), embeddings, and fine-tuned model workflows.  Collaborate with backend and product teams to deploy scalable AI pipelines.  Evaluate new AI research and integrate the most promising advancements into production.  Ensure data accuracy, efficiency, and responsible AI use across product features.

Qualifications

 Strong hands-on experience with Python, APIs, and ML frameworks (PyTorch, TensorFlow, LangChain, etc.).  Skilled in working with or fine-tuning LLMs such as GPT, Claude, Mistral, or Llama.  Understanding of RAG systems, embeddings, and vector databases (ChromaDB, Pinecone, FAISS).  Bachelor's degree in Computer Science, Data Science, or equivalent (Master's preferred).  A deep passion for AI innovation and building impactful, real-world products.

Skills Required

Tensorflow, Pytorch, Python