Roles & Responsibilities:
- Work closely with cross-business unit teams and progressively guide a team of AI engineers and developers as the squad evolves.
- Contribute to the design, development, and deployment of AI and LLM-based solutions from concept through production.
- Partner with business stakeholders to identify meaningful AI use cases and translate them into practical solutions.
- Ensure solutions follow data security, governance, and regulatory requirements.
- Stay informed on emerging AI technologies and share recommendations on how they can bring value to the organization.
Who This Role Is For:
- This role fits someone who enjoys building AI solutions.
- Opportunities to be assigned for additional ownership of guiding a small technical team in the future do exist if you perform outstandingly. You will have the opportunity to shape how AI and LLM capabilities grow within the organization and help translate new technologies into real business impact.
- If you enjoy working at the intersection of AI engineering, leadership, and business collaboration, this role offers space to contribute and grow.
Job Requirements:
- Bachelor's/Master's in Computer Science, or related field.
- 5+ years in software development, including 2-3 years focused on AI.
- Hands-on experience with transformer models (e.g., OpenAI, Llama, Qwen, Mistral).
- Solid understanding of linguistics and its application to language models.
- Proficiency in Retrieval-Augmented Generation (RAG) and its integration with LLMs for improved contextual accuracy.
- Strong skills in Python, ML frameworks (PyTorch/TensorFlow), and MLOps.
- Experience with cloud platforms (AWS/GCP/Azure) and containerization.
- Excellent communication and stakeholder management abilities.
- Strong English communication skills, both written and spoken
