(Senior) Software Engineer – LLM & AI Platform at KI Group

Berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 26

Salary

80000.0

Posted On

30 Sep, 26

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

Tasks

The context: The KI•PIE Group is an established B2B media and data company serving the international plastics and petrochemical industries. We are currently building pricenxt.com – our new SaaS platform for pricing and market intelligence, and a key driver of growth for the coming years, particularly in Europe . As an LLM Application Engineer / Senior Software Engineer, you will play a central role in our development team. You will be responsible for independently building the shared LLM platform – from proof of concept to production – and will oversee two tracks: internal tools and customer products. Your focus will be on application development using foundation models: RAG, agents, LangChain/LlamaIndex, orchestration, prompt engineering, and product integration.

LLM platform layer structure: Retrieval backend, embedding pipeline, API design
Integration of LLM APIs (OpenAI, Anthropic, Mistral, etc.) into internal and customer systems
Development of AI features: Conversational Analyst, semantic search, intelligent alert feed
Implementation of agent architectures and MCP interfaces for enterprise connectivity
Contributing to the development of prototypes and proof-of-concepts for new AI use cases

Profile

Graduates of computer science, business informatics, data science or a related field of study
Experience with
- RAG-Pipelines in Produktion — Vector DB, Retrieval, Chunking, Evaluation/Grounding
- LLM frameworks — LangChain / LlamaIndex (or similar) for orchestration, chains/agents, tool use
- LLM-Application-Engineering — Prompt-/Context-Engineering, Function-Calling, Agenten-Architekturen
- Backend — Node/Python (or similar), clean services, async, API design, data modeling
- Frontend — React / TypeScript, builds usable user interfaces for the AI features itself
- Data pipelines — ingestion, normalization, embedding via structured and semi-structured sources
- MCP (Model Context Protocol)

Responsibilities

Tasks

LLM platform layer structure: Retrieval backend, embedding pipeline, API design
Integration of LLM APIs (OpenAI, Anthropic, Mistral, etc.) into internal and customer systems
Development of AI features: Conversational Analyst, semantic search, intelligent alert feed
Implementation of agent architectures and MCP interfaces for enterprise connectivity
Contributing to the development of prototypes and proof-of-concepts for new AI use cases

Profile

Graduates of computer science, business informatics, data science or a related field of study
Experience with
- RAG-Pipelines in Produktion — Vector DB, Retrieval, Chunking, Evaluation/Grounding
- LLM frameworks — LangChain / LlamaIndex (or similar) for orchestration, chains/agents, tool use
- LLM-Application-Engineering — Prompt-/Context-Engineering, Function-Calling, Agenten-Architekturen
- Backend — Node/Python (or similar), clean services, async, API design, data modeling
- Frontend — React / TypeScript, builds usable user interfaces for the AI features itself
- Data pipelines — ingestion, normalization, embedding via structured and semi-structured sources
- MCP (Model Context Protocol)