Senior AI Engineer

Senior AI Developer

We enable financial institutions to become digital leaders.

As a professional team of global scale, we work with best clients for great and exciting projects, in an environment where we learn amazing things every day. Each code, each voice, each contribution, each challenge, each success is celebrated here.

We welcome candidates who share our values, have the skills and are passionate to enjoy our journey to build the digital future of finance, together.

About Job:

This position is part of VeriParks R&D initiatives. We are looking for a AI Engineer, focused on implementing and deploying AI and ML-based business solutions. You will play a key role in bringing innovative ideas into production by building and supporting intelligent applications in collaboration with a multidisciplinary team

What you will be doing:

• Develop and deploy Python applications as part of AI and ML solution implementations within VeriParks R&D activities.
• Design and implement backend services using Flask and/or Fast API.
• Contribute to projects focused on AI/ML-enhanced business solutions, working closely with business analysts, other developers and solution architects.
• Participate in the design, development, and deployment of Large Language Model (LLM)-based solutions, including fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and domain adaptation techniques.
• Work on the development of intelligent agents using Azure AI Studio / Copilot Studio, contributing to Agentic Workflows and multi-agent orchestration patterns for advanced enterprise scenarios.
• Take an active role in Proof-of-Concept (PoC) initiatives and technical pre-sales activities by preparing demo environments, prototypes, and solution proposals aligned with customer needs.
• Contribute to the packaging, deployment, and lifecycle management of AI agents via Azure AI Foundry, ensuring reusability and enterprise-readiness.
• Help evaluate and integrate new AI technologies and open-source tools into VeriParks product suite, including LangChain, Hugging Face, OpenAI APIs, and vector search frameworks.
• Ensure solutions are secure, compliant, and aligned with ethical AI and responsible AI principles, including fairness, transparency, and robustness.
• Support cross-functional teams by documenting code, preparing technical guides, and mentoring junior team members in AI development best practices.
• Collaborate with sales and business development teams by providing technical expertise during client engagements, supporting proposal preparation, solution demos, and responding to RFPs/RFIs with AI/ML capability insights.

What we are looking for:

• Bachelors degree in IT, Computer Science
• Strong software development background
• Proven experience in Python development.
• Eagerness to learn, especially openness to exploring and adopting new technologies and tools.
• Cloud-agnostic mindset with the ability to design portable architectures, while having a strong focus on Microsoft Azure for implementation.
• Familiarity with Microsoft Azure services, with the ability to design cloud-agnostic and portable architectures (Azure focus preferred).
• Solid understanding of modern backend frameworks, including Flask and FastAPI.
• Exposure to AI/ML-based architecture and prior experience in machine learning or/and artificial intelligence projects is a strong plus.

• Experience or familiarity with:

• Azure AI Foundry Agents and Agentic Workflows

• LangChain or similar orchestration frameworks for LLM-based applications

• Microsoft Copilot Studio and Copilot extensibility via plugins or custom connectors

• Working with RAG (Retrieval-Augmented Generation) pipelines and LLM fine-tuning

techniques

Preferred (Optional) Qualifications:

• Hands-on experience with building AI agents, including solutions using Microsoft Copilot, Azure AI Studio, or other agentic frameworks, is highly desirable.
• Experience in Python is a must, other languages is considered as plus
• Familiarity with Microsoft SQL Server.
• Interest or experience in AI and Machine Learning applications.
• Experience with Microsoft Azure services, especially:
• Azure OpenAI Service
• Experience using Large Language Models (LLMs) in inference-based applications (e.g., retrieval-augmented generation, chatbots, summarization APIs).
• Azure Machine Learning
• Azure Document Intelligence
• Azure AI Search
• Familiarity with Microsoft Power Automate and …