PRINCIPAL LLM ENGINEER

Job Purpose.
s a Principal LLM Engineer at Tarjama&, you will take on a critical role in shaping the AI landscape at Tarjama&.
You’ll guide the development and deployment of small, specialized LLMs while driving research initiatives and collaborating with cross-functional teams to align AI solutions with business objectives.
You will also be responsible for overseeing the end-to-end lifecycle of AI models, from conceptualization to deployment, and ensuring the continuous enhancement of AI infrastructure.
uties & Responsibilities.
dvanced Model Development & Deployment:• Lead the design, fine-tuning, and deployment of small language models (LLMs) for specific industries (e.
., legal, finance, consultancies), ensuring optimal performance, scalability, and accuracy.• Oversee the end-to-end lifecycle of AI models, including development, testing, and production maintenance, to support critical business functionsResearch & Innovation Leadership:• Lead research initiatives to explore the latest advancements in NLP and AI, applying findings to Tarjama&’s product roadmap and driving forward-thinking AI strategies.• Actively contribute to building future AI tools by identifying opportunities to integrate AI across various verticals.
echnical Architecture & Infrastructure:• Define and optimize the AI/ML technology stack, ensuring that the models and tools align with Tarjama&’s long-term technical vision.• Ensure proprietary AI models are secure, compliant, and uniquely suited to the company’s business needs, emphasizing high standards in quality and performanceOptimization & Continuous Improvement:• Regularly review and optimize the performance of deployed models, implementing improvements and ensuring scalability.• Take initiative to continuously improve AI infrastructure, ensuring Tarjama& stays at the forefront of AI innovation.
ross Functional Collaboration & Leadership:• Partner with product, business, and technical teams to define and deliver AI solutions that meet industry-specific needs and drive innovation.• Mentor junior LLM engineers and guide them in adopting best practices in AI model development and deployment.
ducation, Experience & Qualifications:• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.• Approximately 7 years of hands-on experience in machine learning, with a specific focus on NLP, LLMs, or applied AI in industry-specific contexts.• Strong expertise in machine learning frameworks such as TensorFlow or PyTorch, with proven experience in deploying and maintaining models in production environments.• Proficiency in Python; familiarity with additional AI/ML tools and stacks is a plus.• Proven track record of research and development in the AI/ML space, with the ability to drive innovation and create proprietary solutions.• Solid business acumen and the ability to deeply understand and address industry-specific challenges (e.
., legal, finance).• Experience leading AI/ML initiatives and working with small LLMs for specialized tasks in real-world applications.• Demonstrated ability to mentor junior engineers and collaborate with cross-functional teams, including product and business units.• Strong leadership skills with a self-driven mindset, capable of working independently, while also providing technical guidance to teams.
ehavioral Competencies:• Team Building & Management• Conflict Management• Time Management• Results Orientation• Influencing othersTechnical Competencies:• Machine Learning Expertise.
NLP, LLMs, and applied AI.• Langchain and langraph• Vectorization, vector store and word embedding• Programming Skills (Python).• Research & Development in AI/ML.