AI Solution Engineer Intern

AI Rudder is a software company that harnesses the power of AI voice automation to supercharge customer experiences. With AI voice assistants, your call center can make quality human-like calls at lightning speeds, collecting and analysing data automatically to reach and activate more customers. AI Rudder helps call centers reduce costs by automating repetitive tasks and lowering agent workload. This free up agents to focus on things only humans can do. Over the long term, AI Rudder aims to rethink the future of business communication.

About the Role:

We are looking for a highly motivated AI Solution Engineer Intern to join our team. You will work at the intersection of Large Language Models (LLMs), Voice AI, and Agentic frameworks. This is a hands-on role where you will support the development of production-ready AI solutions, help optimize our RAG (Retrieval-Augmented Generation) pipelines, and experiment with the latest AI frameworks.

Key Responsibilities:

• LLM Testing & Evaluation: Support the optimization of models (Both Closed-Sourced and Open Sourced) for voice assistants and chatbots. Assist in tracking performance metrics like WER (Word Error Rate) and TTFS (Time to First Sentence) for voice latency.
• Prompt Engineering: Assist in designing and testing advanced prompt strategies (Multi-prompt, Dynamic prompts) to improve model accuracy and reduce hallucinations in client-specific scenarios.
• RAG & Knowledge Base Support: Help maintain and evaluate RAG systems. This includes testing document chunking, embedding models, and reranking strategies to improve response quality.
• AI Agent Experimentation: Assist in building and testing intelligent agents using frameworks like LangChain, Agno, or OpenAI Agents SDK for task automation and function calling.
• Voice AI Integration: Work with the team to test the integration of ASR (Speech-to-Text) and TTS (Text-to-Speech) modules, focusing on smoothness and “human-like” conversational flows.
• Benchmarking & Research: Stay updated on the latest AI research (e.g., GPT Realtime API, Gemini Native Audio) and conduct benchmark tests on latency, token usage, and cost-efficiency.
• Documentation: Assist in creating technical documentation for internal tools and client integration guides.

Qualifications:

• Educational Background: Currently pursuing a degree in Computer Science, Data Science, AI, or a related technical field.
• Programming: Programming skills in Python. Familiarity with API calls and handling JSON/Protobuf data.
• AI Interest: A strong interest in Generative AI, LLMs, and Natural Language Processing (NLP).
• Problem Solving: A “hacker” mindset—willing to experiment, fail fast, and iterate on prompts or code to find a solution.
• Communication: Ability to work collaboratively and explain technical findings clearly. Working language as English.

Bonus Points (Nice to Have):

• Experience with Vector Databases (e.g. Qdrant) or RAG frameworks.
• Familiarity with Voice technologies (e.g. VoIP, WebRTC) or audio processing.
• Knowledge of Indonesian (Bahasa) or Malay, specifically for testing model performance in Southeast Asian markets.
• Familiarity with cloud platforms like Alicloud, AWS via containerization technologies (Docker/K8s).