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💼 Full-time🗓 2026-06-26

Core

Staff Software Engineer owning core AI-powered product features and production LLM systems at Writesonic, directly impacting revenue and retention.

Role type

Staff Software Engineer (hands-on IC)

Builds

Production LLM systems, RAG pipelines, AI agents, embedding workflows, evaluation frameworks, and fine-tuning pipelines.

Domain

AI/LLM infrastructure, content automation, marketing, SEO, GEO

Deliverable

production ML models | product features

Required skills

Python, system design, API design, SQL, vector databases, cloud infrastructure, LLM production experience, RAG, AI agents, embeddings, model evaluation, fine-tuning

Preferred skills

Open-source contributions, technical blogging, GEO/SEO/AI search experience, content automation systems, founding engineer experience, 0-to-1 product experience

Technologies

Python, SQL, vector databases, cloud infrastructure

Responsibilities

Own and ship core AI-powered product features end-to-end; Design, build, and optimize production LLM systems; Make architecture and system design decisions across backend services and cloud infrastructure; Connect engineering decisions to user outcomes and business metrics.

Seniority

Staff, hands-on IC

Rewrite
## 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. ## Responsibilities - 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 Qualifications ### Backend 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 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.
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