Custom Software Engineer

About the role

Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

What you'll do

• Design and evolve AI/ML architectures for classification, recommendation, prediction, and decision-support systems
• Define model lifecycle strategies including training, evaluation, deployment, monitoring, and continuous learning
• Architect GenAI solutions leveraging LLMs, RAG, vector databases, knowledge graphs, and AI agents
• Drive experimentation frameworks, confidence scoring, model calibration, and performance optimisation
• Build scalable data and MLOps platforms supporting large-scale AI workloads and real-time inference

What you need

• 12–22 yrs of experience
• LLMs
• Python
• AWS
• Machine learning
• MLOps
• Deep learning
• Any graduate

Good to have

• NLP
• GCP
• PyTorch
• TensorFlow
• Azure