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Rytsense Technologies · Chennai, Tamil Nadu, India

AI Engineer

entry_levelfull timePosted Aug 11
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Stack mentioned

machine-learninggenerative-aillmpythondeep-learningragagentic-ailangchainrest-apipandasnumpytensorflowpytorchdata-structuresfastapiflaskplaywrightnlpcomputer-visionvector-databases

We are looking for a passionate Senior AI Engineer (4+ years) with hands-on experience in building AI-powered applications using Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have strong Python skills and experience developing scalable, production-ready AI solutions.

Responsiblities

- Design, develop, and deploy AI-powered applications.

- Build and optimize Machine Learning and Deep Learning models.

- Develop LLM-based applications using RAG and Agentic AI.

- Implement AI workflows using LangChain, LangGraph, and Model Context Protocol (MCP).

- Integrate AI models with REST APIs and external services.

- Collaborate with cross-functional teams to deliver scalable AI solutions.

Required Skills

- Strong proficiency in Python.

- Experience with Machine Learning and Deep Learning.

- Hands-on experience with Generative AI, LLMs, RAG, and Agentic AI.

- Experience with LangChain, LangGraph, and MCP.

- Proficiency with Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.

- Experience in data preprocessing, model training, evaluation, and deployment.

- Strong understanding of REST APIs, data structures, and algorithms.

- Excellent analytical, problem-solving, and debugging skills.

Good to Have

- Experience with FastAPI, Flask, and Playwright.

- Experience in NLP, Computer Vision, or multimodal AI applications.

- Familiarity with vector databases such as FAISS, ChromaDB, or Pinecone.

- Experience with cloud platforms (AWS, Azure, or GCP).

- Knowledge of Docker, Kubernetes, Git, CI/CD, and MLOps.

Experience: 4+ Years

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