Senior Software Engineer

🕒 April 11

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Writesonic

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Writesonic is an AI-powered SaaS platform that helps companies track and improve their visibility in AI search platforms (ChatGPT, Gemini, Perplexity and others) and traditional search. It provides AI-driven SEO analytics, content creation and optimization, automated technical SEO fixes, and actionable citation/outreach tools, targeting marketing and enterprise teams with enterprise-grade security and integrations.

📋 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.

🎯 Requirements

• 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.