Senior Applied AI Engineer

MAIA

Applied AI Engineer responsible for backend and AI systems in an industrial AI platform. Building production-grade AI features and collaborating with various teams.

Posted 7/2/2026full-timeRemote • 🇩🇪 GermanySenior💰 €75,000 - €85,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong backend engineering capabilities with expertise in TypeScript and SQL, particularly PostgreSQL, while effectively building and deploying production REST APIs and LLM applications. Proficient in collaborating with cross-functional teams and applying secure development best practices.

Highest-signal resume keywords

Backend Engineering SkillsProduction REST API DevelopmentSQL Proficiency with PostgreSQLLLM Application DevelopmentObservability Tooling Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TypeScriptGoJavaRustSQLPostgreSQLLLM FrameworksVector DatabaseDebugging Production SystemsSecure Development Best Practices

Tools & Technologies

RAG PipelinesLLM IntegrationsObservability Tooling

Industry Keywords

Cloud ConceptsDevOpsProduction RolloutFeature DesignCollaboration

Tech Stack

Tools & technologies

CloudGoJavaPostgresRustSQLTypeScript

About the role

Key responsibilities & impact

Build and evolve MAIA's core product capabilities
Focus on backend and AI systems
Design, implement, and ship features from discovery to production rollout
Build and iterate on RAG pipelines, retrieval strategies, and LLM integrations
Build evaluation approaches for LLM features
Proactively scout new technologies and translate findings into production-ready solutions
Collaborate closely with Product, DevOps, and customer-facing teams

Requirements

What you’ll need

Strong backend engineering skills in TypeScript, or another strongly typed language (Go, Java, Rust)
Proven experience building and shipping production REST APIs
Strong SQL skills, ideally with PostgreSQL in production
Hands-on experience building or operating LLM applications
Commercial experience with at least one relevant LLM framework and at least one vector database
Practical experience debugging production systems using observability tooling (logs, metrics, tracing)
Foundational understanding of cloud and DevOps concepts
Ability to follow secure development best practices in day-to-day engineering work
Fluent in English. German is a plus.

Benefits

Comp & perks

Flexible working hours
Fully remote in Germany
Access to a WellPass fitness membership
Competitive salary
VSOP (Virtual Stock Option Plan) participation opportunities