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python prompt engineering llms evaluation retrieval📋 Description
- Build and prototype LLM-backed features with senior engineers; ship production work.
- Contribute to eval rubrics, tests, and dashboards; run evals on production systems.
- Write clean, testable Python in production stack; add regression tests.
- Debug data/infra/model/prompt failures with mentor; document learnings.
- Collaborate with engineers, product, and AI team; participate in design reviews and PRs.
- Available to work full-time onsite in Bengaluru for the internship duration.
🎯 Requirements
- Demonstrated AI/ML depth with LLMs via coursework, open source, or projects.
- Own an end-to-end system: design, build, and handle failures.
- Solid Python engineering: clean, testable code; production stacks.
- Working knowledge of modern LLMs: prompting, fine-tuning, retrieval, or evaluation.
- Systems mindset: interfaces, data contracts, failure modes, rollout plans.
- Collaborative track record: asking sharp questions, accepting feedback, pushing for quality.
🎁 Benefits
- Mentorship from engineers who have scaled AI-native systems.
- Exposure to cutting-edge tech.
- Understanding real-world product development in a high-growth AI-driven startup.
- Potential Pre-Placement Offer (PPO) based on performance.
- Autonomy and ownership from day one.
- Competitive internship stipend.
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