(Senior) AI Software Engineer at i22 Digitalagentur GmbH
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

24 Dec, 26

Salary

40000.0

Posted On

25 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services;IT Consulting & System Integration

Description

Your scope for decision-making

You decide:

  • How to implement a solution technically
  • Which models, tools and agents are used
  • How to integrate AI applications into existing systems
  • How to ensure quality and evaluation

You give recommendations for:

  • Deviations from standards or existing stack
  • Project priorities

Must Have

  • Technical Ownership: Several years of productive development experience; as a senior, responsibility for systems, domains, and architectural decisions up to the operational level.
  • LLM & AI Engineering: LLM, RAG, or agentic applications have been brought into productive use, not just as prototypes; as a senior: such a system has been technically responsible for.
  • Agentic Engineering: AI agents are an integral part of your engineering workflow, with review loops and clear responsibility for what works productively.
  • Technical depth: Excellent backend knowledge, confident in APIs and system integration; testing, security, and operations are part of your job.
  • Solution Design & Customer Context: Assess the effort, benefits, feasibility, and risks of AI options and provide reasoned recommendations; as a senior: design solutions directly with the customer.
  • Technical Leadership: Sharing knowledge within the team and in reviews; as a senior engineer: empowering other engineers technically and creating reusable solutions.
  • A feel for user experience: Whether an AI function truly helps users is part of its quality for you.
  • Communication: Fluent German in a customer context and fluent English


Responsibilities

Your scope for decision-making

You decide:

  • How to implement a solution technically
  • Which models, tools and agents are used
  • How to integrate AI applications into existing systems
  • How to ensure quality and evaluation

You give recommendations for:

  • Deviations from standards or existing stack
  • Project priorities

Must Have

  • Technical Ownership: Several years of productive development experience; as a senior, responsibility for systems, domains, and architectural decisions up to the operational level.
  • LLM & AI Engineering: LLM, RAG, or agentic applications have been brought into productive use, not just as prototypes; as a senior: such a system has been technically responsible for.
  • Agentic Engineering: AI agents are an integral part of your engineering workflow, with review loops and clear responsibility for what works productively.
  • Technical depth: Excellent backend knowledge, confident in APIs and system integration; testing, security, and operations are part of your job.
  • Solution Design & Customer Context: Assess the effort, benefits, feasibility, and risks of AI options and provide reasoned recommendations; as a senior: design solutions directly with the customer.
  • Technical Leadership: Sharing knowledge within the team and in reviews; as a senior engineer: empowering other engineers technically and creating reusable solutions.
  • A feel for user experience: Whether an AI function truly helps users is part of its quality for you.
  • Communication: Fluent German in a customer context and fluent English


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