AI Engineer

About the position

We are seeking a skilled AI/ML Engineer with a strong focus on Generative AI. The ideal candidate will have a solid foundation in programming, particularly in Python, and experience with frameworks such as TensorFlow, PyTorch, or JAX. You will be responsible for designing, building, and fine-tuning Generative AI models for real-world applications, working with large language models (LLMs) and other generative architectures to develop intelligent solutions for various tasks. This role requires collaboration with cross-functional teams and a commitment to ethical AI practices.

Responsibilities

• Design, build, and fine-tune Generative AI models for real-world applications.
• Work with LLMs and other generative architectures to develop intelligent solutions for text, image, and multimodal tasks.
• Optimize AI models for efficiency, performance, and scalability in production environments.
• Develop AI-powered applications using Retrieval-Augmented Generation (RAG) and vector search.
• Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders.
• Ensure AI models align with ethical AI guidelines, bias detection, and regulatory compliance.
• Stay updated with the latest advancements in Generative AI and integrate innovative approaches into projects.
• Implement MLOps best practices to automate AI model deployment and monitoring.
• Document model development, performance benchmarks, and best practices.

Requirements

• Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or JAX.
• Hands-on experience with Generative AI models, including Large Language Models (LLMs), diffusion models, or GANs.
• Proficiency with NLP techniques, transformers (e.g., BERT, GPT, T5), and multimodal AI models.
• Experience in prompt engineering, fine-tuning, and RLHF (Reinforcement Learning from Human Feedback).
• Familiarity with model deployment techniques using APIs, microservices, and containerization (Docker, Kubernetes).
• Knowledge of vector databases (e.g., Pinecone, FAISS, Milvus) and retrieval-augmented generation (RAG).
• Exposure to cloud platforms (AWS, Azure, GCP) and AI services like OpenAI, Anthropic, or Hugging Face.
• Understanding of ethical AI, bias mitigation, and responsible AI practices.
• Proficiency in working with large-scale datasets and applying data augmentation techniques.
• Familiarity with MLOps, model versioning, monitoring, and lifecycle management.
• Minimum 2 years of experience in developing AI/ML models, with at least 1 year focused on Generative AI.
• Hands-on experience in training, fine-tuning, and deploying generative models in production environments.
• Exposure to working with pre-trained foundation models and customizing them for business applications.
• Experience in integrating AI models into software applications and APIs.
• Experience with cloud-based AI/ML services and deployment architectures.

Benefits

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.