FocusKPI is looking for an LLM or GenAI Application Engineer to join one of our clients, a high-tech SaaS company.
An LLM or GenAI Application Engineer or LLM Research Engineer role is mainly focused on the consumer-facing applications. The role will be a part of the core GenAI AI development team within the client. It primarily contributes to LLM-based application development, evaluation, and testing of new features, as well as core technology, such as an agent framework, utilizing the latest technology stack, LLM technology.
Work Location : Mountain View, CA Duration : 12-month contract; Hybrid role (4 days per week onsite) Pay Range : $110 / hr to $120 / hr
No C2C resumes are considered
Role & Responsibilities :
- Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various applications.
- Research cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance.
- Explore advancements in transformer architectures, multi-modal models, and emergent AI behaviors.
- Collect, clean, and preprocess large-scale text datasets from diverse sources.
- Develop and implement data augmentation techniques to improve training data quality.
- Ensure data is free from bias and aligned with ethical AI standards.
- Optimize model architecture to improve accuracy, efficiency, and scalability.
- Implement techniques to reduce latency, memory footprint, and inference time for real-time applications.
- Collaborate with MLOps teams to deploy LLMs into production environments using Docker, Kubernetes, and cloud.
- Develop robust evaluation pipelines to measure model performance using key metrics like accuracy, perplexity, BLEU, and F1 score.
- Continuously test for bias, fairness, and robustness of language models across diverse datasets.
- Conduct A / B testing to evaluate model improvements in real-world applications.
- Stay updated with the latest advancements in generative AI, transformers, and NLP research.
- Contribute to research papers, patents, and open-source projects—present findings and insights at conferences and internal knowledge-sharing sessions.
Qualifications :
Required to have 5-7 years of industrial work experience along with research / academic experience.Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field.Strong programming skills.Expertise with LLM and GenAI application development.Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.Hands-on experience with transformer-based models (e.g., GPT, BERT, RoBERTa, LLaMA).Expertise in natural language processing (NLP) and sequence-to-sequence models.Familiarity with Hugging Face libraries and OpenAI APIs.Experience with MLOps tools like Docker, Kubernetes, and CI / CD pipelines.Strong understanding of distributed computing and GPU acceleration using CUDA.Knowledge of reinforcement learning and RLHF (Reinforcement Learning with Human Feedback).Top 3 skills (must have) :
The candidate must have a real (actual) product experience, application development, and GenAI-based application shipping.Actual or Industrial LLM or GenAI application experience of at least 2-3 yearsNo C2C resumes are consideredFocusKPI is an equal opportunities employer and welcomes applications from diverse candidates.
J-18808-Ljbffr