SDE 3

Responsibilities:

• Own and ship core AI-powered product features end-to-end from problem definition to production deployment and measurement.
• Design, build, and optimize production LLM systems, including RAG pipelines, AI agents, embedding workflows, evaluation frameworks, and fine-tuning pipelines.
• Make architecture and system design decisions across backend services, databases (SQL and vector), APIs, and cloud infrastructure.
• Dive deep into the business domain (marketing, SEO, GEO, content automation) to make smart product and engineering trade-offs.
• Connect every engineering decision to user outcomes. Ask, does this move revenue or retention? before is this technically elegant?
• Collaborate directly with founders and cross-functional teams, operating as a product-minded engineer rather than a spec-follower.

Requirements:

• Strong proficiency in Python as the primary language.
• Solid grasp of system design, API design, SQL and vector databases, and cloud infrastructure.
• Production LLM Experience.
• 2 Years of building and shipping real production systems using LLMs, RAG pipelines, agents, embeddings, evaluations, or fine-tuning.
• Understands the limits of models, not just the hype. Can clearly articulate the difference between RAG and fine-tuning and when to use each.
• Independent Ownership Can take a vague problem, define the solution, build it, and measure its impact without hand-holding.
• Track record of shipping autonomously and iterating based on real user/business feedback.

Nice to Have:

• Open-source contributions or a published technical blog demonstrating depth of thinking.
• Experience with GEO, SEO, AI search, or content automation systems.
• Founding engineer or 0-to-1 product experience at an early-stage startup.