AI Engineering Tech Lead / Architect

The role

You will build Lighthouse AI, an intelligence engine for engineering leaders. You will work on natural language interfaces, causal analysis models, and ML-driven insights to help AI agents operate in enterprise environments.

What you will do

• Collaborate with product, data, and engineering teams to define, design, and integrate AI features.
• Build and maintain scalable ML pipelines and infrastructure.
• 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 and identify opportunities to apply state-of-the-art techniques to business problems.

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

Nice to have

• 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)

About the company

Faros is building the engineering intelligence platform for the AI era. The platform helps engineering organizations understand the impact of AI on software delivery.