AI Engineer
Remote
As a Junior AI Engineer, you will contribute to developing AI agents that enhance the meeting and collaboration experience. You will gain hands-on exposure to LLMs, ASR, and applied ML/DL, while building practical engineering skills in optimizing model performance, ensuring output quality, and supporting real- time RTC use cases. This is an exciting opportunity to grow quickly in a fast-paced startup culture where ownership, adaptability, and continuous learning are key.
Key Accountabilities & Activities
Assist in developing AI agents using both proprietary (e.g., OpenAI GPT) and open-source LLMs
(e.g., Qwen, Llama).Implement ASR pipelines to support real-time speech-to-text use cases in meetings.
Contribute to model fine-tuning, prompt engineering, and deployment for user-facing features.
Support the creation of QA and evaluation pipelines to monitor model accuracy and output quality.
Collaborate with product and engineering teams to align AI features with the overall product roadmap.
Conduct research on emerging ML/LLM techniques and experiment with integration into product use cases.
Participate in code reviews, testing, and debugging to ensure reliable AI functionality.
Background, Skills & Qualifications
Bachelor’s degree in Computer Science, AI, Data Science, or related field.
4+ years of experiences in ML and LLM.
Solid foundation in ML/DL principles and practical coding.
Proficiency in Python (bonus: JavaScript/TypeScript, C++, or Java).
Familiarity with ML frameworks (PyTorch, TensorFlow, Keras).
Exposure to LLM use cases and API integration.
Familiarity with ASR tools (e.g., Whisper, Vosk, Kaldi) is a plus.
Basic knowledge of cloud services (AWS/GCP/Azure).
Comfortable working in a startup environment – adaptive, fast-moving, and proactive.
Strong problem-solving skills, willingness to take ownership, and a growth mindset
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