Senior Gen AI Engineer

Develop and roll out scalable AI/ML models and GenAI solutions within production settings

• Architect and maintain reliable ETL pipelines along with broader data workflows
• Build LLM-powered applications leveraging current-generation frameworks
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs and enterprise data sources.
• Utilize prompt engineering methods to enhance the quality of AI-generated results
• Launch models through APIs and connect them with enterprise-level systems
• Take full accountability across the process, spanning development, rollout, monitoring, and fine-tuning
• Work closely with teams across various functions to produce AI solutions that meet business needs

Requirements

• Between 8 and 15 years of broad IT experience
• More than 8 years specifically focused on AI Engineering
• Solid programming ability in Python
• Direct experience building ETL processes and data pipelines
• Strong background in ML/DL frameworks, such as TensorFlow, PyTorch, and Scikit-learn
• Working knowledge of prompt engineering practices and hands-on LLM experience
• Familiarity with LLM-focused frameworks like LangChain, LlamaIndex, and Hugging Face
• Practical experience with cloud platforms such as Azure, AWS, or GCP
• Capability using MLOps tooling, including MLflow, Kubeflow, and Airflow
• Must To Have Skills: Proficiency in Data Science.

Good to Have

• OpenAI / Gemini API
• LangChain / LangGraph
• RAG
• Prompt Engineering
• Machine Learning
• NLP
• TensorFlow / PyTorch
• Git / GitHub
• AWS / Azure

Application Question(s):

• What Is Your Current Salary? *
• What Is Your Expected Salary? *
• What Is Your Notice Period ? *

Work Location: Remote