
Generative AI Applications Engineer
9 hours ago
Description :
The Gen AI Engineer will be responsible for designing, implementing, and optimizing Generative AI solutions that integrate with large language models (LLMs) and enterprise systems.
This role combines software engineering, AI model integration, and prompt engineering to build intelligent, scalable, and efficient solutions.
The candidate will collaborate closely with product, pre-sales, and engineering teams to deliver end-to-end GenAI implementations, ensuring high-quality outcomes across performance, scalability, and usability.
Key Responsibilities :
- Design, develop, and deploy GenAI-based applications using Python and core data structures and algorithms.
- Implement and fine-tune LLMs through advanced prompt engineering techniques.
- Develop full-stack components using React, HTML, CSS, and JavaScript for AI-driven web interfaces.
- Integrate backend services and APIs through HTTP and REST protocols.
- Work with relational and non-relational databases to manage structured and unstructured data.
- Implement message queues and asynchronous processing for scalable AI pipelines.
- Contribute to model evaluation, testing, and fine-tuning of LLM-based solutions.
- Collaborate with product and pre-sales teams to conceptualize and demonstrate AI-driven capabilities.
- Provide technical support and solution documentation for product deployment and integration.
- Maintain and optimize Linux-based environments for AI model operations and application hosting.
Requirements :
to 7 years of experience in Python programming with strong fundamentals in data structures and algorithms.
- Hands-on experience in building and deploying applications using React, HTML, CSS, and JavaScript.
- Proficiency in working with RESTful APIs and HTTP communication protocols.
- Practical experience with Linux, databases (SQL/NoSQL), and message queue systems.
- Strong understanding of Generative AI technologies and LLM prompt engineering.
- Experience in integrating and implementing AI models into production environments.
- Exposure to pre-sales support, product demonstrations, and solution presentations is an advantage.
- Strong analytical mindset, problem-solving skills, and communication abilities.
- Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related technical discipline
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