AI Engineering Tech Lead / Architect

Responsibilities

• Collaborate with product, data, and engineering teams to define, design, and integrate AI features seamlessly into the user experience.
• Build and maintain scalable ML pipelines and infrastructure balancing speed, flexibility, security, and scalability.
• Build and optimize LLM-powered features including natural language query generation, data summarization, and data exploration tools.
• Design and implement prompt engineering strategies, evaluation frameworks, and iterate on model performance.
• Fine-tune Large Language Models (LLMs) or custom architectures for performance, latency, and cost-efficiency.
• Stay up-to-date with the latest research (e.g., papers from NeurIPS, ICML) and identify opportunities to apply state-of-the-art techniques to business problems.

What We Value

Required Qualifications

• 5+ years of professional experience in software engineering with a focus on Machine Learning or AI.
• Strong proficiency in Python
• Strong familiarity with libraries such as NumPy, Pandas, and Scikit-learn.
• Prompt engineering and evaluation frameworks.
• LLM/GenAI: experience hardening and productionalizing applications based on GenAI.
• Experience designing/consuming REST/GraphQL APIs and deploying applications using containerization ecosystems (Docker, Kubernetes).
• English C1: able to participate in technical calls and write clear communication.
• Degree in Computer Science, Mathematics, related field, or equivalent real-world experience.

Preferred Qualifications

• Experience with building & integrating with SaaS platforms.
• Experience with engineering analytics or developer-productivity tooling.
• Experience with development pipelines for ML and AI (e.g., MLflow, Weights & Biases, Evaluations, etc).
• Hands-on experience using coding agents (AI-assisted development).

Work Details