Description:
We are looking for an AI Engineer with 3+ years of experience to develop and deploy AI applications using Gemini / Deepseek, Flask / FastAPI, LangChain, LangGraphs, and Vector Databases, etc. You'll build scalable APIs, and integrate state of the art AI technologies for real-world applications.
Key Responsibilities:
- Build and deploy AI models (LLMs, NLP, computer vision) using frameworks like TensorFlow, PyTorch, LangChain, and LangGraphs.
- Develop APIs with Flask, FastAPI for model integration.
- Collaborate with cross-functional teams to deliver AI-powered solutions.
- Utilize vector databases (e.g., Weaviate, Qdrant, FAISS, Chroma) for AI-powered search and retrieval tasks.
Qualifications
- 3+ years of experience in Generative AI and deploying models using Flask, FastAPI
- Strong proficiency in Python and libraries such as TensorFlow, PyTorch, LangChain.
- Proven track record of deploying AI/ML models in production
- Familiarity with RESTful API principles and experience in integrating and consuming APIs.
- Familiarity with embedding models and NLP pipelines
- Familiarity with scrapping and automation using Requests, Selenium, BeautifulSoup
- Experience implementing RAG techniques in AI applications including chatbots.
- Experience with Computer Vision and Image Recogntion using models like YOLO, Facenet, Sadtalker, etc
- Experience with transformers and LLMs (e.g., GPT, BERT, T5)
- Understanding of AI inference optimization and scalability
- Experience in version control systems like Git
- Expertise in ML frameworks like TensorFlow, PyTorch, or Scikit-learn