Senior Artificial Intelligence Lead

Description:

Aslaschat, a division of Aslase, is seeking a visionary and experienced Senior AI/ML Lead to spearhead its mission of delivering intelligent, scalable, and impactful AI-driven systems. This is a high-responsibility, onsite leadership role tailored for seasoned professionals who are passionate about building and deploying state-of-the-art machine learning solutions and guiding technical teams toward innovation excellence.

As the Senior AI/ML Lead, you will be responsible for architecting and overseeing the development of large-scale AI models, with a core focus on LLM APIs, custom embedding models, and retrieval-augmented generation (RAG) architectures. The role also requires a deep understanding of prompt engineering, model fine-tuning, and the use of AI orchestration frameworks to manage complex workflows. You will mentor team members, drive research, and collaborate with cross-functional stakeholders to deliver enterprise-grade solutions.

In addition to professional growth, Aslaschat provides a supportive environment that values employee well-being. Benefits include bi-annual salary increments, medical insurance, subsidized meals, and a travel allowance for female employees, making this role both rewarding and empowering.

Key Responsibilities:

• Lead the design and implementation of advanced AI/ML systems and solutions

• Develop and optimize custom embedding models and LLM-based architectures

• Apply AI orchestration frameworks for streamlined deployment and scalability

• Utilize prompt engineering and fine-tuning techniques to enhance model performance

• Collaborate with product, engineering, and data science teams to align AI initiatives with business goals

• Mentor junior engineers and foster a culture of innovation and technical excellence

Requirements:

• Minimum 5+ years of practical experience in AI/ML development

• At least 2 years in a senior or leadership capacity

• Expertise in LLM APIs (e.g., OpenAI, Cohere, Anthropic) and custom embeddings

• Proficiency in AI orchestration frameworks (e.g., LangChain, LlamaIndex, Airflow)

• Strong command over prompt engineering, model fine-tuning, and RAG systems

• Excellent problem-solving and communication skills

Benefits:

• Market competitive salary

• Bi-annual salary increments

• Medical insurance coverage

• Subsidized meals provided onsite

• Travel allowance for female employees

• Opportunity to work on advanced AI/ML projects in a growth-focused environment