Lead Software Engineer

AI & Generative AI Development

• Design and develop enterprise-grade Generative AI solutions using Large Language Models (LLMs).
• Build Agentic AI systems capable of planning, reasoning, orchestrating tools, and executing multi-step tasks.
• Develop Retrieval-Augmented Generation (RAG) architectures using vector databases.
• Build AI copilots, virtual assistants, and intelligent banking workflows.
• Fine-tune and optimize LLMs for banking-specific use cases.
• Develop multi-agent architectures for customer service, operations, and fraud detection.

Platform Engineering

• Build scalable AI microservices and APIs.
• Integrate AI models with core banking systems and digital banking applications.
• Deploy AI workloads on cloud platforms.
• Implement monitoring, observability, and governance for AI applications.
• Ensure compliance with banking security, privacy, and regulatory requirements.

Collaboration

• Work with Business Analysts, Product Owners, Architects, and Banking SMEs.
• Participate in AI governance and model risk management activities.
• Guide junior developers on AI solution development.

Required Technical Skills Profile

Strong Experience In

• OpenAI GPT Models, Azure OpenAI
• LangGraph, LangChain, Semantic Kernel, Microsoft Copilot Studio

Experience In

• Multi-Agent Systems, Task Planning, Tool Calling
• Agent Orchestration, Human-in-the-Loop Workflows
• Autonomous Execution, Agent Memory Management, Agent Governance

Programming Languages

• Python (Expert), JavaScript/TypeScript, SQL Server, PostgreSQL, Oracle

• Data Warehouses