Senior AI Software Engineer – LLM Applications

i22 Digital Agency

. Translate product ideas into concrete technical solutions .

Posted 9/24/2026full-timeRemote • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing production-grade AI applications, integrating AI systems, and ensuring operational reliability. Possesses strong backend development skills and the ability to assess and recommend AI solutions while collaborating directly with customers.

Highest-signal resume keywords

Production Experience With LLM, RAG, Or Agentic ApplicationsStrong Backend Development SkillsTechnical Ownership Of AI SystemsFluent German For Customer-Facing WorkKnowledge Of Testing, Security, And Operations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend DevelopmentAI Application DevelopmentSystem IntegrationAPIsTypeScriptNode.js/NestJSPostgreSQLRedisPythonData Analysis

Soft Skills

CollaborationMentoringKnowledge SharingCustomer EngagementProblem-Solving

Tools & Technologies

ElasticsearchRESTGraphQLVector DatabasesEvaluation FrameworksObservability ToolsMCPImpact Measurement

Industry Keywords

AI SystemsEU AI ActData ProtectionAI LabelingCost ManagementQuality Management

Tech Stack

Tools & technologies

ElasticSearchGraphQLJavaScriptNode.jsPostgresPythonRedisTypeScriptGo

About the role

Key responsibilities & impact

Translate product ideas into concrete technical solutions
Assess architecture, models, interfaces, risks, and dependencies
Develop production-grade AI applications and agentic systems
Integrate AI applications into existing applications, data flows, and system landscapes
Consider evaluation, monitoring, security, and costs from the outset and remain responsible for them after go-live
Own the quality and release of production systems
Make implementation decisions within engineering standards
Turn AI ideas and prototypes into production-ready systems
Take responsibility for what goes into production and how reliably it operates
Ensure measurable impact after go-live
As a Senior Engineer: Own the architecture of an AI system or domain
As a Senior Engineer: Design solutions in direct collaboration with customers
As a Senior Engineer: Share knowledge and create reusable solutions for the team
Provide recommendations on deviations from standards, model selection with cost or data protection implications, and project priorities
Submit a professional statement covering your motivation, challenges, overlooked aspects, and an LLM, RAG, or agentic application you played a significant role in developing or owning
Describe how models, retrieval, tools, and agents were selected, integrated, evaluated, and operated after go-live

Requirements

What you’ll need

Several years of experience developing production software
As a Senior Engineer: Experience owning systems, domains, and architectural decisions through to operations
Production experience with LLM, RAG, or agentic applications—not just prototypes
As a Senior Engineer: Technical ownership of such a system
Use AI agents as an integral part of the engineering workflow, with review loops and clear accountability for production outcomes
Strong backend development skills
Confidence working with APIs and system integration
Knowledge of testing, security, and operations
Ability to assess and provide well-founded recommendations on the effort, value, feasibility, and risks of AI options
As a Senior Engineer: Design solutions directly with customers
Share knowledge within the team and during reviews
As a Senior Engineer: Technically mentor other engineers and create reusable solutions
An instinct for whether an AI feature genuinely helps users
Fluent German for customer-facing work
Proficient English
Knowledge of, or willingness to learn, TypeScript, Node.js/NestJS, PostgreSQL, Redis, Elasticsearch, REST/GraphQL, Python, vector databases, evaluation frameworks, observability tools, MCP, impact measurement, data analysis, cost and quality management for AI systems, the EU AI Act, data protection, and AI labeling

Benefits

Comp & perks

Full-time employment
Permanent position
Inclusion and equal treatment regardless of gender, background, age, disability, sexual orientation, religion, or worldview
Opportunities to build and develop skills relevant to the role
Collaboration with a diverse team and a range of perspectives