Senior Software Engineer

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Writesonic

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2021

🤖 Intelligence artificielle

☁️ SaaS

🏢 Entreprise

Artificial Intelligence • SaaS • Enterprise

Writesonic est une plateforme SaaS alimentée par l'IA qui aide les entreprises à suivre et à améliorer leur visibilité sur les plateformes de recherche IA (ChatGPT, Gemini, Perplexity et autres) ainsi que sur les recherches traditionnelles. Elle offre des analyses SEO basées sur l'IA, la création et l'optimisation de contenu, des corrections SEO techniques automatisées et des outils de citation/actions concrètes, ciblant les équipes marketing et les entreprises avec une sécurité et des intégrations de niveau entreprise.

Description

• 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.

🎯 Exigences

• Strong proficiency in Python as the primary language. • Solid grasp of system design, API design, SQL and vector databases, and cloud infrastructure. • 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. • 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. • Willingness and ability to learn the business domain (marketing, SEO, GEO, content) deeply enough to make smart product calls. • 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. • 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.