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We are seeking an experienced engineer to design, build, and scale cloud-native and generative AI–driven solutions. The ideal candidate combines strong expertise in Python, scripting, Linux, and public cloud platforms with hands-on experience in AI/ML or GenAI frameworks. You should be a proactive problem solver, comfortable working in agile environments, and passionate about developing intelligent, high-impact systems.
Job Responsibility
Design and build AI-driven workflows for document extraction and processing
Develop and integrate AI pipelines into enterprise applications
Support scaling of AI capabilities across datasets and use cases
Ensure alignment with enterprise architecture, data governance, and security standards
Collaborate with data, platform, and application teams to deliver integrated solutions
Build and optimise AI pipelines for extraction, transformation, and validation
Ensure accuracy, quality, and performance of AI outputs
Implement validation frameworks and tracking for AI model performance
Deploy AI services through secure APIs into production environments
Embed QA and governance practices into AI development lifecycle
Support continuous improvement of AI models and workflows
Requirements
Bachelor's degree in Computer Science, Business Informatics, Mathematics, or a comparable qualification
Minimum 5-7 years of experience
Experience with AI/ML workflows and document intelligence solutions
Strong programming skills (Python, APIs, data processing frameworks)
Experience with cloud-based AI services and scalable architectures
Understanding of model validation, accuracy, and lifecycle management
Experience integrating AI into enterprise systems
Leverage AI-assisted tools to accelerate development, testing, and optimisation of AI pipelines
Use AI techniques to improve automation, extraction accuracy, and operational efficiency
Support broader adoption of AI-assisted engineering practices
Ensure responsible and secure use of AI technologies in line with enterprise policies
Continuously explore emerging AI capabilities to enhance delivery outcomes
Experience developing and deploying AI or machine learning solutions
Strong programming and analytical skills
Understanding of model validation, performance, and governance
Experience integrating AI into production systems
Experience working in Agile/DevOps teams
What we offer
Smooth integration and a supportive mentor
Pick your working style: Remote, Hybrid or Office work opportunities
Flexible working hours
Sponsored certifications, trainings and top e-learning platforms
Private Health Insurance
Individual coaching sessions and accredited Coaching School