You will own the design and end-to-end implementation of AI-powered features.
Responsibilities
- Design and implement AI features, including audience segmentation and LLM-based recommendations.
- Own AI capabilities from concept through production, covering framing, data strategy, model selection, and iteration.
- Productionize LLM and RAG systems ensuring reliability, observability, and cost awareness at scale.
- Collaborate with product and data teams to translate use cases into measurable AI solutions.
- Establish best practices for AI products, including A/B testing, guardrails, and monitoring.
Required Skills
- 9-13 years of software engineering experience, with 5+ years deploying ML/AI products to production.
- Hands-on experience with modern LLM development (RAG, prompt engineering, agents, evaluation).
- Strong fundamentals in Software Engineering, including API Design, testing, and CI/CD.
- Expertise in Python and Machine Learning frameworks.
- Proven experience building systems on AWS and GCP platforms.
- Proficiency with Databricks for building scalable AI services.
- Experience operating production systems with observability in mind.
Preferred Skills
- Experience in MarTech or AdTech domains.
- Hands-on experience with vector databases and feature stores.