You Are:

• An AI and Large Language Model Engineer responsible for building, implementing, and optimizing advanced AI and Generative AI (including LLM) platforms and solutions.

• Focused on translating business and technical requirements into scalable, production-ready implementations.

• Contributing to the development and continuous improvement of AI systems, frameworks, and methodologies across NLP and machine learning use cases.

• Developing, fine-tuning, and deploying large language models capable of natural language understanding and generation.

• Working hands-on with model configuration, training data, and parameter tuning to improve performance, accuracy, and reliability.

Responsibilities:

• Engineer and implement end-to-end Generative AI products, applications, and solutions aligned to business needs.

• Develop, customize, fine-tune, and integrate GenAI and LLM models into applications and platforms.

• Evaluate, test, and optimize GenAI system performance and recommend technical improvements.

• Support effort and timeline estimation for end-to-end LLM solution delivery.

• Contribute to cost analysis and usage optimization for LLM deployments across different patterns.

• Select and apply appropriate tools, frameworks, and technologies for Generative AI solutions.

• Build and prototype reusable components and accelerators for LLM solution patterns.

• Implement Responsible AI, security, privacy, and compliance controls within AI solutions.

• Build and support LLMOps / MLOps pipelines for deployment, monitoring, and continuous improvement.

• Collaborate with cross-functional teams to clarify requirements and deliver working AI capabilities.

• Prepare, process, and manage large datasets for training, fine-tuning, and evaluation.

• Apply transformer and other deep learning architectures to improve model efficiency and accuracy.

• Create and maintain clear technical documentation for implementations, models, and operational processes.

• Travel may be required depending on business and client needs (0–100%).

What You Need:

• Minimum 6 years of experience building and deploying AI / ML solutions using at least one major cloud platform.

• At least 1 year of hands-on experience with LLM and Generative AI technologies.

• At least 1 year of experience implementing and operationalizing LLM-driven applications.

• Minimum 6 years of hands-on experience in software engineering, machine learning, deep learning, and NLP solutions.

• Bachelor’s degree or equivalent work experience (minimum 12 years), or an associate degree with at least 6 years of equivalent experience.