Software / AI Engineer (m/w/d)

Interzero; Köln; Remote; EUR 70.000 - 120.000; Vollzeit

Benefits dieser Stelle

Deutschlandticket subsidy

Company pension contributions

Bike leasing

Health programmes

Remote work options

Zusammenfassung

Interzero seeks a Software / AI Engineer to design intelligent automation solutions using AWS services, LLMs, and workflow platforms. You will collaborate across departments to identify automation opportunities and architect scalable AI-driven processes that support a waste-free future.

The role combines cloud engineering, AI model integration, and data handling with tools like Lambda, Step Functions, S3, and DynamoDB.

Qualifikationen

• 3+ years in software engineering, cloud development or AI/ML automation.
• Degree in Computer Science or equivalent practical experience.
• Experience with AWS Bedrock and Amazon Q is a plus.

Aufgaben

• Identify automation opportunities with stakeholders and translate business needs into technical workflows.
• Architect scalable automation solutions and integrate AI-driven processes.
• Develop AI agents, RAG pipelines and document extraction workflows.

Kenntnisse

Cloud services

AI/ML automation

Workflow automation

Communication

English fluency

Ausbildung

Computer Science degree

Tools

AWS

Lambda

Step Functions

S3

DynamoDB

API Gateway

EventBridge

n8n

Make.com

Terraform

Jobbeschreibung

We are seeking a Software / AI Engineer with strong communication skills and deep expertise in cloud services, AI, and workflow automation. You will design intelligent automation solutions using AWS services (Amazon Bedrock, Amazon Connect, Amazon Q), Large Language Models, and automation platforms. Working closely with various departments, you will identify automation opportunities, architect scalable solutions, and implement AI-driven processes that support our vision of a waste-free future.

Cologne

01.11.2026

What is it about?

• Collaboration & Requirements: Partner with stakeholders to identify automation opportunities, translate business needs into technical solutions, and document workflows and architectures.
• Cloud Engineering & Automation: Architect and maintain automated workflows and integrations using AWS services (Lambda, Step Functions, S3, DynamoDB, API Gateway, EventBridge) and platforms like n8n or Make.com. Enable seamless data flow between cloud infrastructure and external platforms such as Zendesk, Salesforce, and Baserow. Ensure reliability through monitoring, error-handling, and alerting.
• AI-Powered Solutions: Leverage Amazon Bedrock, Large Language Models, and Amazon Q to build AI agents, RAG pipelines, and intelligent workflows for document extraction, content generation, and conversational AI.

Advantages:

• Future-proof career: Join one of Europe's leading environmental service providers and help shape digital transformation in a growing sustainability-focused industry.
• Flexibility that works for you: Benefit from flexible working arrangements, remote work options and a healthy work-life balance.
• Modern technology stack: Work with AWS, Amazon Bedrock, Amazon Q and leading AI technologies to develop innovative automation solutions.
• Room to innovate: Bring your ideas to life in an environment that encourages ownership, creativity and continuous improvement.
• Benefits beyond the salary: Enjoy attractive additional benefits including company pension contributions, Deutschlandticket subsidy or Edenred card, bike leasing, corporate benefits and comprehensive health programmes.
• Technology with purpose: Build solutions that support sustainability and help advance our mission of a waste-free future.

Profile:

• Communication & Languages: Strong collaboration skills; able to present technical solutions to non-technical stakeholders. Fluent in English; German is a plus.
• Experience: 3 + years in software engineering, cloud development, or AI/ML automation. Degree in Computer Science or equivalent practical experience.
• AI/ML & LLM Expertise: Experience with Amazon Bedrock and Amazon Q. Skilled in prompt engineering, RAG architectures, and building AI agents for production use cases.
• Data Handling: Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL (DynamoDB), plus experience with data pipelines and tools like Baserow or Airtable.

Bonus skills (Nice to have)

• Certifications & Infrastructure: AWS certifications (Solutions Architect, Developer, or ML specialty). Experience with Terraform, AWS CDK, or CloudFormation.
• Advanced AI & Other: Experience with SageMaker, vector databases, or custom ML pipelines. Background in sustainability tech or enterprise automation tools (Power Automate) is a plus.