Posted on: 19/07/2025
We are hiring a Senior AI Engineer to join our fast-growing AI product startup thats building cutting-edge, AI-native infrastructure and applications.
This role offers an exciting opportunity to work at the intersection of generative AI, large language models (LLMs), and scalable cloud-based systems.
You'll work closely with a high-caliber team of engineers and product leaders to develop solutions that redefine how AI is applied across real-world use cases.
Were looking for a passionate technologist who thrives in a dynamic startup environment and has a strong background in AI-focused product development.
The ideal candidate should have hands-on experience in building AI-first or AI-native applications and be comfortable working across the full product lifecycle from architecture to deployment.
If you're excited by deep tech, rapid learning, and creating high-impact solutions, wed love to talk.
Key Responsibilities :
- Design, build, and deploy AI-native applications using Generative AI, LLMs, and data platforms.
- Translate business and product requirements into scalable AI solutions.
- Collaborate with cross-functional teams including product, design, and data science to implement features and functionalities.
- Develop applications leveraging Speech-to-Text (STT), Text-to-Speech (TTS), and other conversational AI platforms and APIs.
- Contribute to architectural decisions and ensure robust system design and high availability.
- Build cloud-native applications, preferably on AWS, using modern DevOps and deployment practices.
- Continuously research, evaluate, and experiment with new AI/ML models and frameworks to improve application performance and user experience.
- Write clean, maintainable, and well-tested code, and participate in peer code reviews.
- Mentor junior developers and contribute to fostering a collaborative team environment.
Required Skills & Qualifications :
- Proven experience in building AI-first or AI-native products, especially those involving Gen AI or Foundation Models.
- Strong coding skills in Python, Java, or similar backend programming languages.
- Good understanding of ML lifecycle, model integration, and API development.
- Experience with Speech-to-Text and Text-to-Speech platforms is a strong plus.
- Exposure to cloud-native development and deployment, ideally on AWS.
- Understanding of system design, microservices architecture, and scalable backend systems is desirable.
- Strong problem-solving, communication, and collaboration skills.
- Alumni of premier institutions such as IITs, BITS, or those with equivalent pedigree will be an added advantage
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