Artificial Intelligence Engineer - LLM Quantanite
Quantanite
Office Location
Full Time
Experience: 3 - 3 years required
Pay:
Salary Information not included
Type: Full Time
Location: Maharashtra
Skills: Platform integration, Performance monitoring, Platform development, containerization, Generative AI models, AI Tools Design, Model optimization, CrossFunctional Collaboration, Ethical AI design, Research prototyping, Ethical AI Governance, MLOps infrastructure, fullstack development, API Design, Publication contributions
About Quantanite
Job Description
Role & Responsibilities GenAI Solution Development : Design, build, fine-tune, and evaluate generative AI models (e.g., LLMs, diffusion models) for specific business use cases. Apply prompt engineering and model optimization techniques for performance and cost-efficiency Platform Integration & Enhancement Work with and improve Quantanite's MoBIUS Generative AI Platform. Bridge R&D (QLabs) and production-ready solutions. Cross-Functional Collaboration Partner with teams across different business pillars to gather requirements and integrate GenAI into workflows. Human-Centric AI Design Design AI tools that enhance user experience and augment human capabilities. Prioritize ethical AI and employee engagement in solution design. Research & Prototyping Stay current with GenAI trends and tools; prototype emerging technologies, often within QLabs. Performance Monitoring & Optimization Monitor deployed models for efficiency, accuracy, and impact on business metrics. Continuously iterate for improvements. Ethical AI & Governance Ensure AI systems follow best practices regarding fairness, transparency, privacy, and bias mitigation. Preferred Candidate Profile Advanced Education : Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Domain Experience Prior experience applying AI/ML solutions within domains directly relevant to Quantanite's core service offerings : Customer Experience (CX), Contact Centers, Sales Automation/CRM, Business Process Outsourcing (BPO), Data Annotation/Management, or HR Technology. 1 Experience in these areas allows for a quicker understanding of business needs and faster value delivery : Platform Development Experience : Experience contributing to the development of scalable AI/ML platforms, MLOps infrastructure, or internal AI tooling. This is particularly relevant given the role's interaction with the MoBIUS platform.1 Full-Stack Familiarity : A broader understanding of software development principles, including experience with API design/development (e.g., RESTful APIs), containerization (e.g., Docker, Kubernetes), and potentially front-end components for integrating AI models into user-facing applications. Publications/Contributions : Contributions to the AI/ML community through publications in relevant conferences/journals or significant contributions to open-source projects. (ref:hirist.tech),