Senior Lead Software Engineer

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September 29

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Superside

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B2B • SaaS • Media

Superside is a creative services company that helps businesses enhance their in-house teams with AI-powered creative services. They offer a wide variety of creative work through a flexible subscription model, delivering projects quickly and affordably. Superside serves over 500 global enterprise brands, providing high-quality creative services that include design, video production, branding, and more. The company utilizes a blend of AI technology and top creative talent to ensure fast turnaround times and cost efficiency, catering to the needs of fast-moving brands.

501 - 1000 employees

Founded 2015

🤝 B2B

☁️ SaaS

📱 Media

📋 Description

• Take ownership of features from idea to production: plan, build, launch, and iterate with clear milestones. • Develop and ship GenAI features, including retrieval-augmented generation (RAG), grounding/context engineering, orchestration, and guardrails. • Build data pipelines to ingest, clean, transform, and index content (batch + streaming) for reliable retrieval and analytics. • Design and maintain APIs and services that are simple, stable, and scalable. • Strengthen reliability through tests, metrics, observability, and safe rollout practices. • Ensure compliance with security, privacy, and multi-tenant requirements. • Collaborate cross-functionally with Product and Design to scope, validate, and refine user-facing experiences. • Raise the technical bar through code reviews, design docs, and mentoring.

🎯 Requirements

• 5–8 years of experience building production backend or platform software. • Proven track record of shipping applied AI features in real products (e.g., LLMs, RAG, fine-tuning, or tools). • Strong data pipeline skills: preprocessing, schema design, indexing/vector search, and monitoring. • Fluency in at least one of Node.js, Kotlin, or Python, with the ability to learn others. • Familiarity with cloud environments (AWS/GCP), containers, CI/CD, and infrastructure-as-code. • Strong product sense with the ability to simplify scope, make trade-offs, and explain decisions clearly. • Autonomous, outcome-oriented mindset with a bias for action. • Clear written and verbal communication skills for collaborating in a distributed team. • Bonus: knowledge management/search, CMS/DAM, or enterprise integrations. • Bonus: LangChain/LlamaIndex, vector DBs, embeddings pipelines, or MCP‑style integrations. • Bonus: Experience with evaluation of LLM systems (automatic + human review) and safety practices.