Interviews Chat is an AI platform that helps people ace their job interviews. Our
Interview Copilot listens to live meetings and provides real-time answers and suggestions. We’re scaling fast, trusted by thousands of professionals worldwide, and building new products (Chrome extension, mobile app, desktop app) to reach even more users.
We’re looking for a
GenAI Engineer to help build, refine, and own the generative AI systems behind Interviews Chat. You’ll work on improving answer quality, relevance, and reliability in real-world interview scenarios — where outputs are used live and actually matter.
This role is about shipping GenAI in production, not demos or research projects.
What You’ll Do:
- Design and improve LLM-powered systems used for interview answers, feedback, and suggestions.
- Build and iterate on prompt systems, RAG pipelines, and context assembly (resume, job description, live transcript).
- Evaluate model outputs and create metrics to measure quality, consistency, and regressions.
- Experiment with fine-tuning, adapters, or model routing when it meaningfully improves results.
- Optimize latency, cost, and reliability for real-time usage.
- Work closely with product and engineering to turn GenAI capabilities into shipped features.
What We’re Looking For:
- Strong experience building production GenAI or LLM-powered systems.
- Solid understanding of prompt engineering, RAG, and evaluation techniques.
- Experience integrating and operating LLMs in real-world applications.
- Comfort working with ambiguity and iterating quickly based on user feedback.
- Strong problem-solving mindset and product awareness.
- Good written communication in English.
Bonus:
- Experience with fine-tuning LLMs or training adapters.
- Experience with Python-based AI stacks and orchestration tools.
- Experience working with real-time or low-latency systems.
- Experience in early-stage startups or shipping AI-heavy products.
What We Offer:
- 100% remote work with flexible hours.
- Competitive salary (depending on experience).
- Direct ownership of core AI systems.
- Small team, fast feedback loop, no bureaucracy.
- A chance to build proprietary GenAI systems that genuinely help people succeed in interviews.