
Applied Ai Engineer
4 weeks ago
**About Us**
**Role Overview**
As an Applied AI Engineer, you will play a critical role in shaping our platform's AI capabilities. You will design, optimize, and deploy AI models, ensuring their performance meets enterprise needs. This role combines hands-on work with cutting-edge technologies and solving challenging problems in LLM inference, fine-tuning, and deployment at scale.
**Key Responsibilities**
**Model Optimization & Deployment**:
- Collaborate with the engineering team to integrate AI models into production systems.
**Fine-Tuning & Customization**:
- Fine-tune pre-trained LLMs to meet specific customer use cases using techniques like LoRA (Low-Rank Adaptation), and model Quantization.
- Experiment with synthetic data generation and advanced fine-tuning methodologies.
**Research & Innovation**:
- Stay updated with the latest advancements in AI/ML, particularly in NLP and LLMs, and implement state-of-the-art techniques.
- Prototype and benchmark new approaches to improve model performance and efficiency.
**Collaboration**:
- Work closely with Product Managers, Software Engineers, and AI Infrastructure Engineers to align AI capabilities with customer needs and business goals.
- Support technical discussions with customers to understand and implement their AI requirements.
**Scalability & Efficiency**:
- Ensure AI systems are scalable, secure, and reliable to meet enterprise-grade requirements.
- Optimize resource utilization for cost-effective AI deployment in cloud and on-premise environments.
**What We’re Looking For**
**Must-Have**:
- 2+ years of experience working with AI/ML models, with a strong focus on NLP and LLMs.
- Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, and Keras.
- Experience with LLM inference optimization tools like vLLM, TensoRT-LLM, or Hugging Face Transformers.
- Strong understanding of fine-tuning techniques (QLoRa) and data preparation pipelines.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and distributed computing frameworks.
- Excellent problem-solving skills and ability to thrive in a fast-paced startup environment.
**Nice-to-Have**:
- Experience with QLoRA or similar parameter-efficient fine-tuning techniques.
- Hands-on experience with synthetic data generation.
- Knowledge of containerization and orchestration tools (Docker, Kubernetes).
- Knowledge of AI agent frameworks like LangGraph.
- Familiarity with security and compliance requirements for AI systems.
**Why Join Us?**
- **Cutting-Edge Work**: Tackle challenging AI problems and build impactful solutions for global enterprises.
- **Innovation**: Work on state-of-the-art AI technologies in a fast-growing, dynamic environment.
- **Ownership**: Play a critical role in shaping the technical foundation of our platform.
- **Collaboration**: Join a talented team dedicated to solving real-world problems with AI.
- **Competitive Compensation**: Competitive salary, equity options, and opportunities for professional development.
Ability to commute/relocate:
- Manama: Reliably commute or planning to relocate before starting work (preferred)
**Education**:
- Bachelor's (preferred)
**Experience**:
- programming: 1 year (preferred)
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