<p><strong>ABOUT THE ROLE</strong></p><p>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.<br></p><p><strong>WHAT YOU’LL DO</strong></p><ul><li>Own and ship core AI-powered product features end-to-end—from problem definition to production deployment and measurement.</li><li>Design, build, and optimize production LLM systems including RAG pipelines, AI agents, embedding workflows, evaluation frameworks, and fine-tuning pipelines.</li><li>Make architecture and system design decisions across backend services, databases (SQL and vector), APIs, and cloud infrastructure.</li><li>Dive deep into the business domain (marketing, SEO, GEO, content automation) to make smart product and engineering trade-offs.</li><li>Connect every engineering decision to user outcomes—ask “does this move revenue or retention?” before “is this technically elegant?”</li><li>Collaborate directly with founders and cross-functional teams, operating as a product-minded engineer rather than a spec-follower.<br></li></ul><p><strong>MUST-HAVE QUALIFICATIONSBackend Engineering Fundamentals</strong></p><ul><li>Strong proficiency in Python as the primary language.</li><li>Solid grasp of system design, API design, SQL and vector databases, and cloud infrastructure.</li></ul><p><strong>Production LLM Experience (2+ Years)</strong></p><ul><li>Built and shipped real production systems using LLMs, RAG pipelines, agents, embeddings, evals, or fine-tuning.</li><li>Understands the limits of models—not just the hype. Can clearly articulate the difference between RAG and fine-tuning and when to use each.</li></ul><p><strong>Independent Ownership</strong></p><ul><li>Can take a vague problem, define the solution, build it, and measure its impact without hand-holding.</li><li>Track record of shipping autonomously and iterating based on real user/business feedback.</li></ul><p><strong>Domain-Diving Instinct</strong></p><ul><li>Willingness and ability to learn the business domain (marketing, SEO, GEO, content) deeply enough to make smart product calls.</li><li>This is the rarest trait we screen for—engineers who understand the “why” behind what they build.</li></ul><p><strong>Business-First Thinking</strong></p><ul><li>Consistently connects engineering decisions to user outcomes, revenue impact, and retention metrics.</li><li>Asks “does this move the needle for customers?” before optimizing for technical elegance.</li></ul><p><strong>NICE-TO-HAVE</strong></p><ul><li>Open-source contributions or a published technical blog demonstrating depth of thinking.</li><li>Experience with GEO, SEO, AI search, or content automation systems.</li><li>Founding engineer or 0-to-1 product experience at an early-stage startup.<br></li></ul><p><strong>WHO YOU’LL WORK WITH</strong></p><p>You’ll report directly to the Founder, Head of Engineering and work alongside a lean, high-output engineering team. Expect direct access to leadership, fast decision cycles, and zero bureaucracy. If you’ve thrived at places like Trilogy/Crossover, AI-native startups, or high-bar FAANG teams—you’ll feel at home.<br></p><p><strong>WHY WRITESONIC</strong></p><ul><li>Work on AI products used by millions—not internal tooling or incremental features.</li><li>Full ownership of high-impact projects from day one.</li><li>Startup speed with real revenue and real users.</li><li>Direct collaboration with founders who are technical and product-minded.</li><li>Competitive compensation aligned with top-tier IC roles in India.</li></ul>