ABOUT THE ROLE
We’re hiring a strong senior IC engineer to own core projects at Writesonic . This is not a management position—it’s a hands-on builder role for someone who can go deep into hard problems, ship fast, and think like a product owner from an overall business, use-case, and customer perspective.You will take vague, high-impact problems and turn them into production systems that directly move revenue and retention. You’ll work across LLM infrastructure, product features, and AI tooling—operating with full autonomy and minimal hand-holding.
WHAT YOU’LL DO
- 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.
MUST-HAVE QUALIFICATIONSBackend Engineering Fundamentals
- 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)
- Built and shipped real production systems using LLMs, RAG pipelines, agents, embeddings, evals, 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.
Domain-Diving Instinct
- Willingness and ability to learn the business domain (marketing, SEO, GEO, content) deeply enough to make smart product calls.
- This is the rarest trait we screen for—engineers who understand the “why” behind what they build.
Business-First Thinking
- Consistently connects engineering decisions to user outcomes, revenue impact, and retention metrics.
- Asks “does this move the needle for customers?” before optimizing for technical elegance.
NICE-TO-HAVE
- Open-source contributions or a published technical blog demonstrating depth of