ABOUT THE ROLEWe’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 DOOwn 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 FundamentalsStrong 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 OwnershipCan 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 InstinctWillingness 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 ThinkingConsistently 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-HAVEOpen-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.WHO YOU’LL WORK WITHYou’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.WHY WRITESONICWork on AI products used by millions—not internal tooling or incremental features.Full ownership of high-impact projects from day one.Startup speed with real revenue and real users.Direct collaboration with founders who are technical and product-minded.Competitive compensation aligned with top-tier IC roles in India.
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 thinking.
- Experience with GEO, SEO, AI search, or content automation systems.
- Founding engineer or 0-to-1 product experience at an early-stage startup.
WHO YOU’LL WORK WITH
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.
WHY WRITESONIC
- Work on AI products used by millions—not internal tooling or incremental features.
- Full ownership of high-impact projects from day one.
- Startup speed with real revenue and real users.
- Direct collaboration with founders who are technical and product-minded.
- Competitive compensation aligned with top-tier IC roles in India.
