Senior Generative AI Engineer | LLM, RAG, NLP, Python, ML

Role & responsibilities

• Design and deploy Generative AI and Machine Learning solutions.
• Build LLM, RAG, NLP, and Vector Database-based applications.
• Develop Time Series Forecasting and Predictive Analytics models.
• Perform model training, evaluation, optimization, and deployment.
• Develop Python applications and Unix shell scripts.
• Collaborate with stakeholders for requirement gathering and solution design.
• Support project estimation, risk management, and timely delivery.

Preferred candidate profile

• 6+ years of experience in AI/ML, Data Science, or related domains.
• Minimum 2+ years of hands-on experience in Generative AI, LLMs, RAG, NLP, and Vector Databases.
• Strong proficiency in Python programming and ML ecosystem libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib.
• Experience in designing, developing, and deploying production-grade Machine Learning and GenAI solutions.
• Expertise in Time Series Forecasting, Regression Models, Predictive Analytics, and Statistical Analysis.
• Hands-on experience with AI frameworks such as LangChain, LlamaIndex, OpenAI/Azure OpenAI, Hugging Face, or similar technologies.
• Strong understanding of Prompt Engineering, AI Agents, Prompt Chaining, and Retrieval-Augmented Generation (RAG).
• Experience working with Vector Databases such as Pinecone, FAISS, ChromaDB, Weaviate, or equivalent.
• Ability to gather business requirements, create technical designs, and deliver scalable AI solutions.