About the role
About the Role:
We are seeking a highly skilled AI
Full-Stack Developer to join our team. The ideal candidate will be responsible
for designing, developing, and deploying AI-driven applications. This role
requires expertise in both front-end and back-end technologies, as well as
experience in integrating AI/ML models into scalable web applications.
Key Responsibilities:
AI/ML Development:
•Develop and integrate AI/ML models
into web applications.
•Optimize model performance and
deployment.
•Work with frameworks like
TensorFlow, PyTorch, or OpenAI APIs.
Front-End Development:
•Build responsive and interactive
UI/UX using React.js, Angular, or Vue.js.
•Optimize applications for speed
and scalability.
Back-End Development:
•Develop robust RESTful or GraphQL
APIs.
•Work with Node.js, Python
(Django/Flask/FastAPI),
•Manage databases (SQL/NoSQL) and
cloud services.
DevOps & Deployment:
•Deploy AI models and applications
on cloud platforms (AWS, GCP, Azure).
•Work with Docker, Kubernetes,
CI/CD pipelines.
Collaboration & Innovation:
•Work closely with data scientists,
designers, and product teams.
•Stay updated with AI advancements
and industry best practices.
Requirements
Requirements:
Education & Experience:
•Bachelor’s/Master’s degree in
Computer Science, AI, or a related field.
•4+ years of experience in
full-stack development with AI integration.
Technical Skills:
•Proficiency in Python,
JavaScript/TypeScript, and relevant frameworks.
•Experience with AI/ML frameworks
(TensorFlow, PyTorch, OpenAI API).
•Strong knowledge of databases
(PostgreSQL, MongoDB, Firebase).
•Experience with cloud computing
(AWS Lambda, Google Cloud Functions).
•Proficiency in Docker, Kubernetes,
and CI/CD pipelines.
Soft Skills:
•Strong problem-solving abilities
and analytical thinking.
•Excellent communication and
teamwork skills.
Must Have:
•Experience with LLMs (Large
Language Models) and NLP.
•Familiarity with MLOps practices.
•Knowledge of Web3 or blockchain
technologies.
Benefits
Why Join Us?
•Work with cutting-edge
technologies and a talented team.
•Competitive salary and benefits
package.
•Flexible work environment with
growth opportunities.
•Access to professional development
and learning resources.