We are seeking a AI Engineer to join our team and play a critical role in the design and develop a cognitive data solution. The broader vision is to develop an AI-based platform that will crawl through unstructured data sources and extract meaningful information. The ideal candidate will possess full-stack development skills along with a strong understanding of database structures, SQL queries, ETL tools and Azure data technologies.
Core Responsibilities Build and deploy AI agents using various frameworks and tools.
Lead the design, development, and implementation of AI algorithms and models to enhance payment and CX product offerings.
Test agent interactions, document behaviors, and help improve reliability and performance.
Assist with agent integration, system testing, and deployment.
Develop and deploy AI models (including deep learning models) using TensorFlow, PyTorch, and other ML/DL frameworks.
Design and maintain the full AI data pipeline, including data crawling, ETL, and building fact tables.
Apply statistical and programming expertise (NumPy, Pandas, etc.) for data analysis and modeling.
Optimize AI models for on-premise infrastructure with a focus on performance and security compliance.
Stay abreast of the latest trends in AI and contribute to continuous improvements.
Mentor junior AI/ML engineers and contribute to documentation and process standardization.
Contribute to the broader AI agent ecosystem and cross-functional collaboration.
Required Experience Strong Python programming skills and experience with full-stack development.
Experience with large language models (LLMs) like ChatGPT, Claude, etc.
3-4 years of experience in an AI engineer role.
Solid understanding of AI/ML concepts including NLP, ML algorithms, deep learning, image/speech recognition.
Experience with Azure Data Factory, Databricks/Spark, Synapse/SQL DW, and Data Lake Storage.
Familiarity with data pipelines, APIs, data exchange mechanisms, and RDBMS/NoSQL databases.
Ability to write clear and thorough documentation.
Enthusiasm for emerging AI technologies and open-source collaboration. Nice to Have Experience with agent frameworks (LangChain, AutoGPT, CrewAI, Gen AI, Agentic, Multi Agent etc.)
Basic DevOps knowledge and experience in scalable deployments.
Experience with API development and RESTful services.
Familiarity with vector databases (e.g., FAISS, ChromaDB, Pinecone, Weaviate).
Prior contributions to open-source AI projects or communities.
Top Skills
What We Do
We believe customers and employees should be looked after, and every interaction is an opportunity for a conversation and to learn more about them. The value of human touch is irreplaceable, so MöBIUS, our Conversational Gen AI chatbot, can fully automate or play a supporting role across end-to-end customer journeys. Whether you prefer the tradition of human-centric services, the efficiency of fully autonomous solutions, or a seamlessly blended approach, we’ve got you covered. When the human touch is needed, MöBIUS enhances our agents’ performance and amplifies their empathy. With productivity gains and automation, we save time for the human conversations that matter.
Over the past decade, we’ve supported businesses by successfully applying our people and expertise to their diverse range of industries and use cases. Delivering simplified operations and improved customer experiences that allow our customers to focus their time on the things that matter to them.
Our expertise stems from an in-depth understanding of customer needs, technology, markets, and constantly adapt to help our customers navigate difficult challenges.
To learn more visit us at www.quantanite.com.
