TL;DR
Lead Software Engineer (AI): Driving key workstreams end-to-end, designing and shipping production GenAI features with LLMs, and improving data pipelines and platform reliability. Focus on retrieval-augmented generation (RAG), grounding/context engineering, orchestration, and guardrails.
Company
hirify.global is building AI-powered systems that understand a brand’s identity and history, then deliver that context wherever creative work happens.
What you will do
- 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 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.
- Collaborate cross-functionally with Product and Design to scope, validate, and refine user-facing experiences.
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.
Nice to have
- Knowledge management/search, CMS/DAM, or enterprise integrations.
- LangChain/LlamaIndex, vector DBs, embeddings pipelines, or MCP‑style integrations.
- Experience with evaluation of LLM systems (automatic + human review) and safety practices.
Culture & Benefits
- Remote-first work environment spanning 60+ countries.
- Fast-paced, high-energy environment with truth-seeking teammates.
- Opportunities to influence the product and innovate in a thriving scale-up.
- Continuous learning opportunities, mentoring, and leadership development efforts.
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