GEN AI Specialist

Job summary

Design and deploy Generative AI solutions using LLMs and diffusion models, implementing techniques like RAG and prompt engineering. Develop scalable data pipelines and optimize AI frameworks to improve inference speed and reduce compute costs.

Job details

Job Overview Pay Range: $50.00hr - $55.00hr Requirement/Must Have 8+ years of experience in data science or AI engineering. 2+ years of dedicated experience in Generative AI. Deep expertise in PyTorch, TensorFlow, or JAX. Hands-on experience with Hugging Face, LangChain, LlamaIndex, and vLLM. Mastery of Python for performance tuning. Deep understanding of regression, clustering, decision trees, and ensemble methods. Strong grasp of Transformers, CNNs, RNNs, and reinforcement learning (RLHF). Experience with Vector Databases such as ChromaDB, Pinecone, or Milvus. Proficiency with SQL and NoSQL databases. Experience with MLflow, Kubeflow, or Triton Inference Server. Proficiency with AWS (SageMaker), Azure (Azure AI), or GCP (Vertex AI). Experience with GPU acceleration and CUDA. Responsibilities Design and deploy Generative AI solutions using Large Language Models (LLMs) and diffusion models. Implement optimization techniques including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG). Develop predictive models by selecting, training, and tuning traditional machine learning and deep learning algorithms. Build scalable pipelines for data preprocessing, feature engineering, and model training. Optimize AI frameworks to improve inference speed, reduce latency, and lower compute costs. Integrate AI models seamlessly into production software architectures and enterprise workflows. Skills Python. Generative AI (GenAI). Large Language Models (LLMs). Prompt Engineering. Fine-tuning LLMs. Retrieval-Augmented Generation (RAG). PyTorch. TensorFlow. JAX. Hugging Face. LangChain. LlamaIndex. vLLM. Machine Learning. Deep Learning. Transformers. CNNs. RNNs. RLHF. Vector Databases. MLOps. CUDA. Qualification And Education Master s degree in Computer Science, Data Science, Mathematics, or a related quantitative field. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

What you’ll do

Design and deploy Generative AI solutions using LLMs and diffusion models, implementing techniques like RAG and prompt engineering. Develop scalable data pipelines and optimize AI frameworks to improve inference speed and reduce compute costs.

Requirements

Requires 8+ years of experience in data science or AI engineering, with at least 2 years dedicated to Generative AI. Candidates must have a Master's degree in a quantitative field and deep expertise in deep learning frameworks and vector databases.

Benefits

• Medical, Dental, and Vision Insurance • 401(k) Retirement Plan • Health Savings Account (HSA) • Disability Insurance (Short-Term and Long-Term) • Life and AD&D Insurance • Paid Sick Leave • Supplemental Insurance Plans • Identity Theft Protection • Pet Insurance • Employee Wellness Programs • Employee Assistance Program (EAP) • Career Growth and Professional Development Opportunities

Listed skills

• Machine learning · Preferred
• prompt engineering · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Generative AI
• Large Language Models
• Prompt Engineering
• Fine-tuning LLMs
• Retrieval-Augmented Generation
• PyTorch
• TensorFlow
• JAX
• Hugging Face
• LangChain
• LlamaIndex
• vLLM
• Machine Learning
• Deep Learning
• MLOps

Job areas

• Technology
• Software
• Data & Analytics
• Engineering
• Science & Research