Lead Artificial Intelligence Engineer
2 weeks ago
About the job :
We are a forward-thinking technology company at the forefront of AI innovation.
Our mission is to optimise Sales and marketing cost of SAAS by creating cutting-edge AI solutions, and we are looking for a passionate and experienced Lead AI Engineer to join our growing team.
If you have a deep understanding of Large Language Models (LLMs), AI agents, and their real-world applications, we want to hear from you
Role Overview :
As the Lead AI Engineer specializing in LLMs and AI agents, you will be responsible for leading the development, research, and deployment of advanced AI systems.
This hands-on role will require you to work closely with data scientists, engineers, and cross-functional teams to design and implement scalable AI solutions using state-of-the-art LLM technologies and AI agent frameworks.
Key Responsibilities :
- Lead the design and development of AI-driven solutions with a focus on LLMs (e.g, GPT-based models) and intelligent agent systems.
- Architect, prototype, and deploy LLMs for various applications such as natural language understanding, conversational AI, and decision-making.
- Develop AI agents that can autonomously interact with users, external systems, and datasets, solving complex tasks with minimal supervision.
- Collaborate with product managers and business stakeholders to define use cases, model requirements, and performance metrics.
- Continuously experiment with cutting-edge algorithms, architectures, and tools to push the boundaries of AI agent capabilities and LLM performance.
- Mentor and guide junior engineers and team members, fostering a culture of collaboration and continuous learning.
- Perform model training, fine-tuning, and performance optimization to ensure high-quality outcomes.
- Ensure robust AI system scalability, deployment, and integration into production environments.
- Stay updated on advancements in AI and contribute to the development of new research and methodologies.
- Promote AI ethics and responsible AI development in all engineering practices.
Qualifications :
- Education : Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Ph.is a plus.
Experience :
- 5+ years of experience in AI engineering or machine learning roles, with at least 2 years in a leadership capacity.
- Hands-on experience with LLMs (e.g, GPT, BERT, T5) and their applications.
- Strong expertise in AI agents, multi-agent systems, reinforcement learning, or autonomous systems.
- Deep understanding of machine learning algorithms, neural networks, and natural language processing (NLP).
- Proven experience with cloud technologies (AWS, GCP, Azure) and deployment frameworks.
- Expertise in Python, TensorFlow, PyTorch, or other AI/ML frameworks.
- Familiarity with large-scale distributed systems and parallel computing.
Desired Skills :
- Experience with fine-tuning pre-trained models and building custom LLMs.
- Knowledge of AI/ML tools for prompt engineering, generative models, or few-shot learning.
- Experience with containerization tools like Docker, Kubernetes, or similar.
- Strong problem-solving and analytical thinking.
- Excellent written and verbal communication skills.
Why Join Us :
- Work with cutting-edge AI technologies and tools.
- Lead high-impact projects that shape the future of AI.
- Be part of a collaborative, innovative, and dynamic team.
- Competitive salary and benefits package.
- Opportunities for career growth and development
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