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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 years

No C2C resumes are considered

Thank you!

FocusKPI Hiring Team

Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.

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