Backend AI Engineer (Financial Services Platform)

We're seeking Backend Engineers to build backend services for a financial platform, layered on top of existing core systems. Development is performed using an AI-first model (Claude Code and Agentic AI tools), with strong ownership of system design, implementation, and validation.

This is an individual contributor role within the Product Development team, supporting global functions and reporting to the Head of Product Development.

As a Backend Engineer, you will be responsible for building scalable, secure, and high-performance backend services and APIs that power the Monifai platform. You will work with modern cloud-native architectures, AI-assisted development tools, and financial services systems, designing service layers and integration services on top of core banking platforms. The ideal candidate brings strong backend engineering expertise, experience with distributed systems and cloud technologies, and a passion for leveraging AI tools to accelerate software development.

At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers.

You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world.

Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career development—ensuring you stay ahead in an ever-evolving world.

Why You’ll Enjoy It Here:

• Be Part of Something Big – A growing company where your contributions matter.
• Make an Immediate Impact – Support groundbreaking technologies with real-world results.
• Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions.
• Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect.
• We Care – Integrity, empathy, and purpose guide every decision.

We’re looking for innovators, problem-solvers, and experts ready to drive change and grow with us.

We Are TeKnowledge. Where People Lead and Tech Empowers.

• Build backend services and APIs on top of existing core systems.
• Develop systems using AI-assisted coding tools, including Claude Code.
• Design and implement:
  • Service layers above core banking systems.
  • Integration services connecting internal and external platforms.
• Manage data flows and system interactions across multiple services.
• Ensure system scalability, performance, reliability, and security.
• Develop and maintain APIs and microservices-based solutions.
• Design and implement event-driven and messaging-based integrations.
• Collaborate with cross-functional teams to deliver high-quality platform capabilities.
• Validate system designs and solutions through testing and continuous improvement.

• Experience: 5–9 years

Education Qualifications

• Bachelor's degree required.
• Technical degree required.
• Master's degree preferred.
• High school diploma required.

Technical Skills

• Strong backend development experience with .NET, Node.js, and/or Python.
• Strong experience with:
• APIs and microservices.
• Distributed systems.
• Experience with cloud platforms, preferably Microsoft Azure.
• Experience using AI tools for software development.

Platform & Architecture Skills (Mandatory)

• Experience or strong understanding of:
• Operational Data Stores (ODS).
• Event-driven architecture.
• Messaging systems (queues, pub/sub).
• Document handling and storage.
• Identity and Access Management (IAM).

Domain Experience

Financial services systems, including lending, payments, and fintech platforms.

Transaction processing systems.

Integrations with external services such as AML, KYC, and PSP providers.

Technology Environment

• Cloud: Azure.
• Architecture:
  • APIs and microservices.
  • Event-driven systems.
  • Messaging-based integrations.

Languages

• Professional proficiency in English.
• Professional proficiency in the local language.