Artificial Intelligence Engineer

Job Title: AI Engineer

Location: Bengaluru (Work from Office)

Experience: 3+ Years

About the Role

We are looking for a passionate and innovative AI Engineer to join our core Artificial

Intelligence team.

The ideal candidate will design and implement intelligent systems leveraging Computer

Vision, Audio Analytics, and Machine Learning models that power automation, perception,

and humanmachine interaction.

This role involves end-to-end ownership — from research and experimentation to

production deployment.

Key Responsibilities

• Design, develop, and deploy AI-powered systems and intelligent agents that can

reason, plan, and execute dynamic tasks.

• Develop Audio Analytics and Speech Intelligence models for speech recognition,

emotion detection, and sound classification.

• Collaborate with product and engineering teams to integrate AI components into

production pipelines.

• Train, fine-tune, and evaluate ML/DL models for multimodal applications (text,

vision, and audio).

• Research and implement LLMs, transformers, and multimodal architectures to

enhance AI agent capabilities.

• Deploy scalable AI services on cloud (AWS / Azure / GCP) with attention to

performance and cost optimization.

• Stay up to date with the latest advancements in Generative AI, and research.

Must-Have Skills

• Strong foundation in Python and libraries such as PyTorch, TensorFlow, OpenCV,

NumPy, scikit-learn.

• Hands-on experience with Computer Vision (object detection, segmentation, OCR, or

video analytics).

• Deep understanding of Audio Analytics — feature extraction (MFCCs, spectrograms),

emotion/tone detection, and speech processing.

• Knowledge of LLMs, NLP pipelines, and multimodal AI architectures.
• Familiarity with API integrations, REST endpoints, and model deployment.
• Proficiency in cloud environments — AWS / Azure / GCP for model hosting and

scaling.

Good-to-Have Skills

• Knowledge of Generative AI (OpenAI, Claude, Gemini, etc.)
• Experience with Vector Databases (Pinecone, Chroma, FAISS) and RAG systems.
• Exposure to Voice AI / Speech-to-Text (Whisper, Deepgram, AssemblyAI).
• Basic understanding of Edge AI, IoT integration, and real-time analytics.
• Familiarity with Docker, FastAPI, MLflow, and deployment pipelines.

Qualifications

• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or

related field.

• 3+ years of experience in applied AI, computer vision, or intelligent systems

development.

• Strong research orientation with experience translating AI concepts into real-world

applications.