Senior AI Engineer

2 weeks ago

Chennai, Tamil Nadu, India Datanetiix Solutions Full time US$ 1,20,000 - US$ 2,00,000 per year

JD:

We are looking for a highly skilled and experienced AI Architect / Senior AI Engineer with a strong background in Generative AI, AI solution design, and Python-based application development. The ideal candidate will have hands-on experience building AI/ML models, deploying scalable AI applications, and integrating with modern data pipelines. Experience in web scraping and data extraction is a strong plus.

  • Design, architect, and develop AI/ML-based solutions with a strong focus on Generative AI (e.g., LLMs, transformers, embeddings).
  • 5+ years of experience in AI/ML application development, software architecture, or data science roles.
  • Prior experience in leading or mentoring junior AI developers.
  • Develop scalable and production-ready applications using Python and modern frameworks.
  • Should have very good communication skills and need to handle the USA clients
  • Lead the end-to-end AI solution lifecyclefrom problem definition, data acquisition, model building to deployment and monitoring.
  • Collaborate with cross-functional teams including data engineers, product managers, and developers.
  • Evaluate and integrate APIs, SDKs, and frameworks related to Gen AI, NLP, and deep learning.
  • Build and optimize prompt engineering strategies and fine-tune pre-trained models where required.
  • Apply web scraping techniques and tools to gather data from websites and third-party platforms.
  • Ensure solutions follow best practices for performance, scalability, and security.
  • Strong proficiency in Python, including frameworks like FastAPI, Flask, or Django.
  • In-depth experience with LLMs, transformer models, NLP, Hugging Face, or OpenAI APIs.
  • Experience designing AI solutions for real-world applications (e.g., chatbots, document summarization, recommendation engines).
  • Knowledge of ML Ops, model versioning, containerization (Docker), and deployment on cloud platforms (AWS, GCP, or Azure).
  • Familiarity with web scraping tools (e.g., BeautifulSoup, Scrapy, Selenium) is a plus.
  • Excellent problem-solving skills, architectural thinking, and communication abilities.
  • Hands-on with LangChain, RAG pipelines, or vector databases like Pinecone, FAISS, or ChromaDB.
  • Experience with front-end technologies or full-stack application development.
  • Use of LangChain, LlamaIndex, Ray, and MLflow to manage model workflows.

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