LLM Engineer

About Opkey:
Opkey's No-Code, AI-enabled testing platform significantly reduces testing time, effort, and cost, ensuring seamless alignment with release schedules and uninterrupted business operations. As an official Oracle partner and the top-rated app on Oracle Cloud Marketplace, Opkey supports 150+ technologies and is the only certified automated testing platform for Coupa. With offices in California, New York, Pittsburgh, and India, Opkey serves over 250 enterprise clients with award-winning test automation recognized by Gartner, Forrester, and G2 Crowd.

Role: LLM Engineer

Responsibilities:

• Design, develop, and implement advanced LLM applications using state-of-the-art models and techniques.
• Lead research initiatives in Retrieval-Augmented Generation (RAG) systems, improving the accuracy and efficiency of information retrieval and generation.
• Conduct experiments on training and fine-tuning large language models for specific domains and tasks.
• Collaborate with cross-functional teams to integrate LLM solutions into production systems.
• Stay up-to-date with the latest advancements in LLMs, NLP, and deep learning, and apply new techniques to ongoing projects.
• Mentor junior team members and contribute to the overall growth of the AI research team.
• Publish research findings in top-tier conferences and journals.

Qualifications:

• Minimum 2 years of experience in NLP, deep learning, and building LLM applications.
• Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or TensorFlow.
• Extensive experience with transformer-based models (e.g., BERT, GPT, T5) and their applications.
• Demonstrated expertise in developing RAG systems and improving their performance.
• Proficiency in training and fine-tuning large language models, including techniques like few-shot learning and prompt engineering.
• Strong background in NLP techniques, including text preprocessing, tokenization, and embedding methods.
• Familiarity with MLOps practices and tools for model versioning, experiment tracking, and deployment.
• Excellent problem-solving skills and ability to think creatively about AI solutions.
• Strong communication skills and ability to explain complex technical concepts to both technical and non-technical audiences.
• Experience with efficient training techniques for large models, such as distributed training and mixed-precision training.
• Knowledge of model compression techniques, including quantization and distillation.
• Familiarity with ethical AI practices and bias mitigation in language models.
• Experience with multi-modal models combining text with other data types (e.g., images, audio).
• Contributions to open-source NLP or LLM projects.
• Good to have: Publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ACL, EMNLP).

Location: HSR Layout, Noida

Work Type: Full Time