Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded...
Overall responsibility for Engineering activities across the business
Create and implement best practice engineering vision, strategy, policies, processes and procedures to aid and improve business performance
Ensure that engineering strategies and processes are in place to meet business objectives and operational needs in terms of price, quality and delivery targets and which enables the company to function and compete effectively in the market...
In the Cluster Delivery Organization, Business Specialists, Business Experts, Engineer Specialists, Engineers, and Product Owners work together in a team. Agile methods help employees perform their functions by enabling a fast and flexible response to changing conditions and customer needs through an iterative approach and continuous development of new solutions.
End-to-end Database Tools Programming and Integration (for Oracle / MS-SQL / PostgreSQL) to design, develop and optimize data architecture including writing complex data handling stored procedures, packages, functions and covering database performance analysis using "SQL,PL/SQL,PL/pgSQL,T-SQL,Python,Perl,API, Power Shell" programming tiers, crash diagnostics and 3d level support, collaboration on Database automation workflows on Linux and Windows platforms, technical guidance during infrastructure maintenance or platform migrations. and acts in the role of the Cell Member together with Database Administration and Database Automation engineers.
The engineer has an agile and digital mindset that always adapts to the current requirements using the appropriate development options....
Research and develop existing computer vision algorithms and incorporate novel techniques or create new algorithms from ground up to solve desired use cases
Develop and adapt advanced computer vision and state-of-the-art deep learning techniques for face recognition, object segmentation detection / classification, optical character recognition, and fraud detection
Assist in dataset preparation to enhance the models...