CareerPlanGet AI match score →

Senior or Staff Software Engineer

India💼 Full-time🗓 2026-04-11 → 2026-08-03

Core

Senior IC engineer owning core AI-powered product features, building production LLM systems, and making architecture decisions to drive revenue and retention.

Role type

Senior IC software engineer (LLM infrastructure & product)

Builds

Production LLM systems, RAG pipelines, AI agents, embedding workflows, and backend services

Domain

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

Deliverable

production ML models | product features

Required skills

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

Preferred skills

Open-source contributions, technical blogging, GEO/SEO/AI search 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

Senior, hands-on IC

Full job description

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.

Sourced via workable · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Workable ↗