About the job
Join our dynamic team at Elite Solutions as we expand our AI-driven initiatives! We are in search of talented developers, engineers, and researchers who are eager to shape the future of artificial intelligence systems.
Whether your expertise lies in creating user-friendly interfaces, developing robust back-end systems, training advanced AI models, or designing scalable infrastructure, we have a place for you!
If you're unsure where your skills best fit, don't worry—we'll provide guidance. Explore the roles below and let us know which aligns with your interests and abilities.
1. Front-End Developer
Responsible for designing and implementing engaging user-facing applications and dashboards.
Key Skills: React, JavaScript/TypeScript, TailwindCSS, Figma, UX principles.
2. Back-End Developer
Tasked with building APIs and server-side systems that drive AI tools and data pipelines.
Key Skills: Python, FastAPI, Go, SQL/NoSQL, REST/GraphQL.
3. Full-Stack Engineer
Develops complete applications that link front-end interfaces with back-end AI logic.
Key Skills: Combination of Front-End and Back-End skills, API design, CI/CD.
4. Machine Learning Engineer
Responsible for deploying, fine-tuning, and maintaining AI models in production.
Key Skills: PyTorch/TensorFlow, MLOps, model serving, inference optimization.
5. Data Engineer
Builds scalable data pipelines and manages datasets essential for training and evaluation.
Key Skills: Apache Airflow, Spark, SQL, Python, BigQuery, ETL systems.
6. Research Engineer
Bridges the gap between AI theory and practical application by developing prototypes.
Key Skills: Python, ML libraries, LLM experimentation, rapid prototyping.
7. DevOps / Site Reliability Engineer (SRE)
Ensures the reliability, monitoring, and automation of AI systems.
Key Skills: Kubernetes, Docker, Prometheus, CI/CD, Python/Bash.
8. Infrastructure Engineer
Designs and maintains the cloud infrastructure that supports AI training and deployment.
Key Skills: AWS/GCP, Terraform, distributed systems, cost optimization.
9. Security Engineer
Responsible for securing the platforms and services that support our AI stack.
Key Skills: Cloud security, identity management, penetration testing, audits.
10. AI Researcher (LLM / CV / RL)
Conducts experiments to advance the science behind our models, including LLMs, computer vision, and reinforcement learning.
Key Skills: Research publications, advanced ML theory, model development, experimentation.

