AI & Automation Solutions Developer

Role Overview

Join a Product team developing, enhancing, and supporting cloud-based Contact Center and AI solutions built on Amazon Connect and AWS. This early-career role suits engineers interested in problem-solving, software development, cloud technologies, and Artificial Intelligence. You will work with senior engineers, solution architects, and product owners to deliver customer-facing capabilities including AI Agents, conversational AI, automation, voice translation, analytics, and core system integrations.

Role allocation

• 70% Solution Development, Testing & Implementation
• 15% Operational Support
• 10% Solution Design & Technical Learning
• 5% Customer & Stakeholder Collaboration

Responsibilities

Solution Development

• Develop, test, implement, and support solutions built on AWS and other cloud technologies.
• Build integrations between contact center platforms, AI services, ITSM tools, and enterprise applications.
• Assist in delivering AI-powered capabilities including AI Agents, Agent Assist, RAG solutions, translation services, and workflow automation.
• Troubleshoot defects and contribute to continuous-improvement initiatives.
• Follow engineering standards, coding best practices, and security guidelines.

AI & Innovation

• Support development and testing of Generative AI and Large Language Model (LLM) solutions.
• Assist with prompt engineering, knowledge bases, AI orchestration, and conversational AI use cases.
• Contribute to experimentation, prototyping, and evaluation of new AI capabilities.

Testing & Support

• Create and execute unit, integration, and end-to-end tests.
• Support deployment, release, and operational activities.
• Assist in diagnosing and resolving production issues.
• Contribute to technical documentation and support materials.

Collaboration & Learning

• Work closely with Product Owners, Architects, Developers, BAU specialists, and Service Desk operational teams.
• Participate in Agile ceremonies, including sprint planning, stand-ups, retrospectives, and demonstrations.
• Continuously develop technical expertise in AWS, AI technologies, and software engineering practices.

Requirements

• Experience, academic exposure, or strong interest in Generative AI, AI Agents, OpenAI APIs, Amazon Bedrock, and prompt engineering.
• Experience, academic exposure, or strong interest in Python, JavaScript, TypeScript, Java, Node.js, REST APIs, JSON, and API integrations.
• Experience, academic exposure, or strong interest in React, Redux Toolkit (RTK), TypeScript, micro-frontends, and accessibility (A11y).
• Experience, academic exposure, or strong interest in AWS, including Amazon Connect, Lambda, S3, Redshift, CloudFormation, and CDK; Git; CI/CD; and infrastructure as code.
• Problem-solving, technical troubleshooting, debugging, stakeholder engagement, technical communication, Agile delivery, teamwork, and continuous learning.
• AWS Certified Cloud Practitioner, AI Practitioner, Developer – Associate, or Solutions Architect – Associate certification; Agile Fundamentals.

Benefits

Health and well-being

• Private medical care.
• Group life insurance.
• 24/7 Employee Support Program.

Flexibility at work

• Work from modern offices with parking or from home.
• Workation.

Time to recharge

• Two paid “happy hours” per month, adding up to three extra days off annually.
• An additional day off after using holiday entitlement.
• Holiday allowance.

Perks and benefits

• MyBenefit cafeteria.
• Sport cards.

Growth opportunities

• Free e-learning platforms.
• Shared costs for professional training and certifications.

Making an impact

• Responsible business initiatives.
• Employee referral program.

The employer provides information on the internal reporting procedure in force, in accordance with Article 24(6) of the Act of 14 June 2024 on the Protection of Whistleblowers (Journal of Laws of 2024, item 928).