Elite Solutions

As a member of our expanding AI-driven teams, you will have the opportunity to work alongside developers, engineers, and researchers who share your passion for creating the next generation of artificial intelligence systems. We are looking for individuals like you who excel in various areas such as building user interfaces, developing back-end logic, training AI models, or designing infrastructure. If you are a Front-End Developer, your role will involve designing and implementing user-facing applications and dashboards using key skills like React, JavaScript/TypeScript, TailwindCSS, Figma, and UX principles. For Back-End Developers, you will be responsible for building APIs and server-side systems that power AI tools and data pipelines. Proficiency in Python, FastAPI, Go, SQL/NoSQL, and REST/GraphQL is essential for this role. As a Full-Stack Engineer, you will develop end-to-end applications that connect front-end interfaces with back-end AI logic. Your key skills will include a combination of Front-End and Back-End skills, API design, and CI/CD knowledge. Machine Learning Engineers will deploy, fine-tune, and maintain AI models in production using tools like PyTorch/TensorFlow, MLOps, model serving, and inference optimization. Data Engineers will focus on building scalable data pipelines and managing datasets for training and evaluation. Proficiency in Apache Airflow, Spark, SQL, Python, BigQuery, and ETL systems is crucial for this role. Research Engineers play a vital role in bridging the gap between AI theory and implementation by building prototypes. Your key skills will include Python, ML libraries, LLM experimentation, and rapid prototyping. DevOps / Site Reliability Engineers (SRE) ensure reliability, monitoring, and automation across AI systems using Kubernetes, Docker, Prometheus, CI/CD, and Python/Bash. Infrastructure Engineers design and maintain the cloud infrastructure supporting AI training and deployment. Key skills for this role include AWS/GCP, Terraform, distributed systems, and cost optimization. Security Engineers are responsible for securing the platforms and services powering our AI stack. Cloud security, identity management, penetration testing, and audits are key skills required for this role. If you are an AI Researcher (LLM / CV / RL), your role will involve conducting experiments to advance the science behind our models, such as LLMs, computer vision, and reinforcement learning. Proficiency in research publications, advanced ML theory, model development, and experimentation is essential for this role.,