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Software engineer
- Location
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- Type
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- Compensation
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Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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AI Engineer Intern
- Location
- Bengaluru
- Type
- Intern
- Posted
- 18D AGO
About the role
All open roles
AI & Data
AI Engineer Intern On-site, Bengaluru Internship (6 months) 6 months, with a PPO based on performanceApply on the formThis form also covers Software Developer Intern (Backend), Software Developer Intern (Frontend). Select AI Engineer Intern when it asks which role you want.
About the role
As an AI Engineer Intern, you will work on designing, testing, and optimizing AI-driven workflows, including LLM prompts, evaluation pipelines, and voice AI systems.
This role is focused on practical AI deployment, not academic research.
Key Responsibilities
- Design and improve LLM prompts for production use cases.
- Build and test AI workflows involving STT, TTS, and LLM components.
- Evaluate AI outputs for accuracy, reliability, and business impact.
- Build small automation pipelines for testing AI behaviors.
- Analyze edge cases and improve AI response quality.
- Work with backend engineers to integrate AI systems into products.
- Document experiments, findings, and improvements.
Technical Skills
- Strong fundamentals in Python.
- Understanding of APIs and basic backend concepts.
- Basic knowledge of LLMs and how they work.
- Familiarity with prompt engineering concepts.
- Analytical mindset to evaluate AI responses.
- Ability to experiment, iterate, and debug model behavior.
- Currently pursuing or recently completed a degree in Computer Science, IT, or a related field.
Nice to Have
- Experience using OpenAI, Anthropic, or similar APIs.
- Exposure to speech systems (STT and TTS).
- Basic understanding of embeddings and vector databases.
- Experience building small AI projects.
- Exposure to cloud platforms (AWS, GCP).
What You'll Learn
- How to deploy LLM systems in production.
- Real-world prompt engineering and evaluation.
- AI system reliability and performance tuning.
- Integrating voice AI into live customer workflows.
- How AI systems behave under real user conditions.
Success in This Role
- Improve measurable AI performance (accuracy, reliability).
- Successfully ship AI workflow improvements.
- Handle edge cases effectively.
- Demonstrate structured experimentation and documentation.
About RevRag AI
RevRag AI is a Bengaluru-based deep-tech startup building production-grade Voice AI and LLM-powered automation for customer-facing workflows. Our multilingual, in-app AI agents plug directly into BFSI journeys, improving digital onboarding, sales, and support while cutting operational cost by up to 70%.
We work with leading BFSI organisations including Mahindra Finance, Motilal Oswal, PayTM Insurance, PhonePe, KreditBee, Razorpay, Udaan Capital, Kissht, PolicyBazaar, InsuranceDekho, Open Capital, and EaseBuzz.
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