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1G1GLOBAL

.Senior AI Engineer(m/w/x)

Berlin
Full-timeOn-siteSenior
AI/ML

Building internal AI platform with RAG pipelines and vector search for a global mobile communications provider. Hands-on RAG pipeline and vector database experience required. Exposure to major transactions, dynamic work environment.

Requirements

  • 5+ years software engineering experience
  • At least 2 years AI/ML systems production experience
  • Hands-on RAG pipelines building experience
  • Vector databases experience (Pinecone, Weaviate, Elasticsearch, or similar)
  • LLM integration into backend services experience
  • Strong backend engineering skills
  • API design skills
  • Microservices skills
  • Production operations at scale experience
  • Python proficiency
  • Practical LLM fine-tuning experience
  • Prompt engineering experience
  • Evaluation methodologies experience
  • CI/CD familiarity
  • Containerization (Docker, Kubernetes) familiarity
  • Infrastructure-as-code familiarity
  • Data security practices familiarity (PII handling, access controls, data classification)
  • Experience in regulated environments (financial services, telecommunications, ISO 27001) is an advantage
  • Telecommunications domain knowledge is a plus
  • Strong communicator
  • Ability to explain technical trade-offs to non-technical stakeholders
  • Fluent in English
  • Self-directed
  • Comfortable with ambiguity
  • Shaping the function

Tasks

  • Design and build internal AI platform
  • Develop RAG pipelines and vector search infrastructure
  • Create conversational interfaces for internal use
  • Evaluate and integrate large language models
  • Operate language models in production
  • Balance accuracy, latency, and cost
  • Build secure ingestion pipelines for internal knowledge
  • Index Confluence, SharePoint, and document repositories
  • Implement access controls for internal knowledge
  • Develop backend services and APIs
  • Expose AI capabilities to internal users
  • Support product teams building customer-facing features
  • Establish engineering standards
  • Develop testing, deployment, and monitoring frameworks
  • Create model evaluation frameworks
  • Manage full development lifecycle
  • Focus on shipping and iterating

Work Experience

  • 5 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishFluent

Tools & Technologies

  • Python
  • RAG
  • Pinecone
  • Weaviate
  • Elasticsearch
  • LLM
  • API design
  • microservices
  • CI/CD
  • Docker
  • Kubernetes
  • infrastructure-as-code
  • PII handling
  • access controls
  • data classification
  • ISO 27001

Benefits

Career Advancement

  • Growth opportunities

Other Benefits

  • Major transaction exposure

Informal Culture

  • Work with talented team
  • International experience
  • Open communication culture

Startup Environment

  • Dynamic work environment
  • Get things done attitude

Learning & Development

  • Professional development
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of 1GLOBAL and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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