Software / AI Engineer

Interzero; Köln; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Interzero in Köln, Germany, is seeking a Software / AI Engineer to design intelligent automation using AWS, LLMs, and workflow platforms. You will partner with departments to identify automation opportunities and architect scalable AI-driven processes that support a waste-free future.

The role emphasizes collaboration, cloud engineering, and delivering reliable automation with monitoring and error-handling, using Lambda, Step Functions, and Bedrock.

Qualifikationen

• 3+ years in software engineering, cloud development or AI/ML automation.
• Degree in Computer Science or equivalent practical experience.
• Fluent in English; German is a plus.

Aufgaben

• Identify automation opportunities and translate business needs into technical solutions.
• Design and maintain automated workflows and integrations on AWS and platforms like n8n/Make.com.
• Build AI-driven processes using Bedrock, LLMs, and RAG pipelines.
• Collaborate with departments to ensure reliable, scalable delivery with monitoring.

Kenntnisse

Cloud engineering

AI/ML

AWS

API/Automation

Ausbildung

Bachelor's degree in CS

Tools

AWS Lambda

Amazon Bedrock

Amazon Q

n8n

Make.com

Zendesk

Salesforce

Baserow

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.

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.