
Artificial Intelligence Engineer
5 days ago
About the Role :
The ideal candidate will be responsible for designing, developing, and deploying AI-driven applications that leverage state-of-the-art LLM technologies to deliver intelligent, interactive user experiences.
This role combines backend AI/ML model development with frontend implementation to build scalable, user-friendly AI-powered solutions.
Key Responsibilities :
- Design, develop, and deploy AI-powered applications utilizing Python for backend development and ReactJS for frontend interfaces.
- Implement and fine-tune Large Language Models (e.g., GPT, BERT, T5) to solve real-world problems such as natural language understanding, generation, summarization, or conversational AI.
- Integrate LLM APIs and frameworks into scalable web applications and services.
- Collaborate with data scientists and ML engineers to optimize model performance and manage deployment pipelines.
- Build responsive, user-friendly front-end components using ReactJS that interact seamlessly with AI-driven backends.
- Develop and maintain APIs to connect AI services with front-end applications.
- Participate in code reviews, testing, and debugging to ensure high-quality, maintainable code.
- Stay updated with latest advances in AI, LLMs, and web development technologies to continuously improve products.
- Contribute to documentation, user guides, and technical specifications.
- Work in Agile teams, collaborating with product managers, designers, and other engineers.
Required Qualifications :
- Bachelors degree in Computer Science, Engineering, AI, or related field.
- 3+ years of professional experience in software development with strong proficiency in Python.
- Experience working with Large Language Models (LLMs) such as GPT, BERT, or similar transformer-based architectures.
- Solid understanding of NLP concepts and techniques related to LLMs.
- Proficient in frontend development using ReactJS, including state management, component lifecycle, and hooks.
- Familiarity with AI/ML frameworks and libraries like Hugging Face Transformers, TensorFlow, or PyTorch.
- Experience building RESTful APIs and integrating backend services with frontend applications.
- Strong skills in data processing, model evaluation, and deployment strategies for AI models.
- Good knowledge of cloud platforms (AWS, GCP, Azure) and containerization tools like Docker/Kubernetes is a plus.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities
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