AI Engineer

About the Role:

We are developing a next-generation Virtual AI Interviewer capable of conducting real-time interviews, generating context-aware questions, analyzing voice/video responses, and providing candidate assessments automatically. We’re looking for an AI Engineer with 2-3 years of experience and a strong foundation in Natural Language Processing, Generative AI, and conversational systems to build and scale this product from the ground up.

Key Responsibilities:

1. Design and develop AI models for automated question generation, evaluation, and response understanding.
2. Build conversational logic and dialogue systems that simulate realistic, human-like interviews.
3. Implement NLP and speech recognition systems for candidate interaction through text and voice.
4. Integrate behavioral and emotional analysis modules for tone, sentiment, and body-language detection (using vision models).
5. Collaborate with backend and frontend teams to integrate AI models into live interview workflows.
6. Develop and optimize model pipelines using frameworks like PyTorch, TensorFlow, or Hugging Face.
7. Continuously improve model accuracy, contextual understanding, and question relevance.
8. Stay updated with the latest advancements in LLMs, multimodal models, and AI ethics.

Required Skills & Experience:

1. Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
2. 2–5 years of experience in building NLP, CV, or speech-based AI applications.
3. Proficiency in Python, PyTorch/TensorFlow, and Transformers (Hugging Face).
4. Strong understanding of LLMs, RAG systems, embeddings, and prompt engineering.
5. Experience with OpenAI, Anthropic, or custom fine-tuning APIs.
6. Familiarity with Speech-to-Text (Whisper, DeepSpeech) and Text-to-Speech (TTS) frameworks.
7. Working knowledge of emotion/sentiment analysis, face detection, or pose estimation (OpenCV, Mediapipe).
8. Good understanding of backend integration (FastAPI, Flask, or Node.js).
9. Strong analytical, problem-solving, and communication skills.

Good to Have:

1. Experience with LangChain, RAG pipelines, or vector databases (Pinecone, FAISS, Chroma).
2. Exposure to real-time video/audio streaming applications.
3. Background in human-computer interaction, psychometric scoring, or recruitment tech.
4. Understanding of cloud deployment (AWS, GCP, Azure) and Docker/Kubernetes.

What You’ll Build:

1. You’ll work on the core intelligence behind our virtual AI interviewer — enabling it to:
2. Conduct live interviews using voice/video.
3. Auto-generate domain-specific questions.
4. Assess candidate confidence, tone, and relevance.
5. Deliver detailed post-interview analysis reports.