AI Engineer

**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.

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