Gen AI Engineer
5 days ago
Mandatory Skills:Gen AI, LLM, RAG, Langchain, Vector DB, AWS / GCP / Azure Cloud, Python, SQL, REST APIs, Prompt Engineering, Agentic AIPreferred Skills:Langgraph, GraphDB, ML Algorithms, NLP-based Implementations with Transformers, Hugging Face, Chatbot Design and BuildJob Description / Roles & Responsibilities:Mandatory:
- Strong understanding of the Gen AI tech stack and hands-on experience in end-to-end implementations of enterprise-grade applications.
- Proficiency in Python, TensorFlow, and PyTorch.
- Ability to work with large datasets and apply data preprocessing techniques.
- Strong Backend Python development experience.
- Hands-on experience in Machine Learning, Natural Language Processing (NLP), or Computer Vision using TensorFlow or PyTorch.
- Build and deploy end-to-end Gen AI-based conversational applications with RAG.
- Expertise in ML techniques such as classification, clustering, deep learning, optimization, and supervised/unsupervised learning.
- Optimize model performance and scalability for real-time inference and deployment.
- Experiment with hyperparameters and model configurations to improve model quality.
- Ensure all AI/ML solutions comply with Responsible AI guidelines and standards.
- Proven ability to develop, debug, and deploy machine learning models.
- Preferred experience in fine-tuning LLMs/SLMs and Agentic AI-based implementations.
- Strong problem-solving and critical thinking skills for complex AI challenges.
- Excellent communication and teamwork skills for collaboration across teams.
Good to Have:
- Experience with GraphDB-based implementations using Langgraph.
- Exposure to fully managed cloud services for Gen AI implementations
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