Join Our Fast-Growing AI Product Startup
We are hiring a Senior AI Engineer to join our fast-growing AI product startup.
This role offers an exciting opportunity to work at the intersection of generative AI, large language models (LLMs), and scalable cloud-based systems.
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 toimprove 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.Skills & Qualifications :
3 to 4 years of hands-on experience in software engineering, particularly in AIproduct / application development.
Proven experience in building AI-first or AI-native products, especially those involving Gen AIor 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 isdesirable.
Strong problem-solving, communication, and collaboration skills.Alumni of premier institutions such as IITs, BITS, or those with equivalent pedigree will be anadded advantage.
Our Ideal Candidate :
Should have hands-on experience in building AI-first or AI-native applications and becomfortable working across the full product lifecycle from architecture to deployment.
Must be excited by deep tech, rapid learning, and creating high-impact solutions(ref : hirist.tech)