Lead Developer - Artificial Intelligence

Description :

Responsibilities :

- Design and develop AI-driven proactive defence systems focused on fraud, risk, and anomaly detection.

- Build and extend agentic frameworks using LangChain, LangGraph, or similar architectures for reasoning, orchestration, and task automation.

- Develop and manage MLOps pipelines for scalable model training, testing, and deployment in production.

- Implement end-to-end automation workflows, from data ingestion and feature engineering to real-time inference and actioning.

- Collaborate with data science, threat intelligence, and platform engineering teams to deliver intelligent, context-aware solutions.

- Integrate LLMs and autonomous AI agents for dynamic pattern recognition, event correlation, and decision automation.

- Contribute to architectural decisions, code reviews, and best practices for building robust, high-performance AI systems.

Requirements :

- 7+ years of experience in software engineering, machine learning, or data systems development.

- Hands-on experience with fraud/risk analytics, behavioural modelling, or anomaly detection (in fintech, ad tech, or cybersecurity domains).

- Proven experience building or integrating agentic AI frameworks (e. g., LangChain, LangGraph, Semantic Kernel, etc. ).

- Strong programming skills in Python (preferred) or Go, and familiarity with PyTorch, TensorFlow, or Scikit-learn.

- Practical knowledge of MLOps, data pipeline design, feature stores, and real-time inference systems.

- Understanding of AI automation, prompt orchestration, and evaluation strategies for LLM-based systems.

- Collaborative mindset with the ability to mentor peers, drive technical discussions, and deliver production-quality solutions.