JobID=1c
For one of our banking clients we are seeking a skilled AI Engineer to lead the integration and implementation of Model Context Protocol (MCP)—an open-source standard designed to enable AI systems to interact dynamically with live external data and tools. This role will play a critical part in shaping next-generation agentic AI systems, focusing on real-time data interaction, standardization, and tool orchestration.
Key Responsibilities:
- Develop and maintain MCP integrations that enable AI models to interact with external APIs, databases, CRMs, and live data sources.
- Design and implement systems using the MCP server-client model, exposing external tools and services in a standardized, accessible format.
- Collaborate with cross-functional teams to support autonomous AI agents that utilize MCP for task execution, such as booking services, managing workflows, or querying live systems.
- Establish scalable architecture that allows AI applications to dynamically expand beyond their static training data through real-time interaction.
- Differentiate and optimize system capabilities in contrast to traditional approaches like Retrieval-Augmented Generation (RAG).
- Ensure robust security, privacy, and compliance measures in all protocol-based data interactions.
Ideal Candidate Profile:
- Strong software engineering background with experience in API design, microservices, or middleware systems.
- Familiarity with AI/ML model deployment and integration, especially in environments requiring real-time data access.
- Experience with agentic AI systems or autonomous agents that require external tool use.
- Proficiency in languages such as Python, Go, or Node.js, and experience working with cloud infrastructure (AWS, GCP, or Azure).
- Strong understanding of data protocols, system architecture, and inter-service communication.
- Experience with open-source contributions or standards development is a plus.
Preferred Qualifications:
- Degree in Computer Science, Engineering, or a related technical field.
- 3–7 years of experience in AI system integration, software engineering, or similar domains.
- Prior exposure to Model Context Protocol (MCP) or comparable standards is highly desirable.
- Knowledge of API ecosystems (REST, GraphQL, gRPC) and data formats (JSON, Protobuf).
Why Join Us?
- Be at the forefront of AI evolution, building systems that go beyond static knowledge.
- Work on open standards that shape the future of intelligent automation.
- Join a high-impact, collaborative environment pushing the boundaries of what AI can do.
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