Senior AI/LLM Engineer (Conversational Systems)

BLOCKS; Berlin; Vor Ort; EUR 75.000 - 110.000; Vollzeit

Zusammenfassung

A Berlin-based startup is seeking a Senior AI/LLM Engineer to design and build LLM-powered assistants and ChatOps systems. The ideal candidate has strong Python and AI/ML expertise and a proven track record in conversational AI. This role offers ownership in a fast-paced environment and competitive compensation, including stock options.

Leistungen

Top-of-market compensation

Relocation support

High autonomy

Fast learning cycles

Qualifikationen

• Strong Python backend and AI/ML engineering expertise.
• Hands-on experience with LLMs (OpenAI, Claude, GPT, or similar).
• Proven track record building conversational AI systems (Slack bots, AI agents, chatbots).
• Proficiency with prompt engineering, RAG, and vector databases.

Aufgaben

• Build LLM-based conversational systems (Slack bots, ChatOps agents, intelligent assistants).
• Design and orchestrate AI pipelines using LLMs.
• Develop Python backend services that integrate LLM outputs.
• Apply prompt engineering best practices to improve responses.
• Enable collaboration workflows by embedding AI systems.
• Drive end-to-end ownership of AI-first features.

Kenntnisse

Python backend

AI/ML engineering

LLMs (OpenAI, Claude, GPT)

conversational AI systems

prompt engineering

RAG

vector databases

Jobbeschreibung

Senior AI/LLM Engineer (Conversational Systems)

Full-time, Berlin

At The Global Talent Co., we connect top global talent with leading technology companies worldwide. This position is a direct hire with BLOCKS, a Berlin-based startup revolutionizing cloud cost optimization. The initial contact will be with The Global Talent Co., but your employment and day-to-day work will be directly with BLOCKS.

About the Company

BLOCKS is a Berlin-based startup revolutionizing cloud cost optimization for startups and SMEs. Combining a group-buying model with its AI agent “Major Tom,” BLOCKS guarantees 20% savings from day one through automated infrastructure efficiency. With strong funding, rapid growth, and an AI-native engineering culture, BLOCKS empowers small, autonomous teams to create outsized impact.

About the Job

As a Senior AI/LLM Engineer (Conversational Systems), you’ll design and build LLM-powered assistants and ChatOps systems that integrate seamlessly into Slack and other collaboration tools. You’ll combine backend Python engineering with AI/ML development, orchestrating pipelines that use LLMs (OpenAI, Claude, GPT, RAG) and vector databases to interact intelligently with business data.

This role requires both technical depth in AI systems and the creativity to push the boundaries of conversational AI in high-impact, production-grade environments. You’ll work in a 0→1 product setting, taking ownership of AI-first features that directly shape BLOCKS’ platform and customer experience.

What You’ll Do

• Build LLM-based conversational systems (Slack bots, ChatOps agents, intelligent assistants).
• Design and orchestrate AI pipelines using LLMs (OpenAI, Claude, GPT), RAG, vector databases, and LangChain.
• Develop Python backend services that integrate LLM outputs with real-time business data.
• Apply prompt engineering best practices to improve reliability and accuracy of responses.
• Enable collaboration workflows by embedding AI systems into Slack and similar tools.
• Drive end-to-end ownership of AI-first features in a fast-paced, startup environment.

What You Bring

• Strong Python backend and AI/ML engineering expertise.
• Hands-on experience with LLMs (OpenAI, Claude, GPT, or similar).
• Proven track record building conversational AI systems (Slack bots, AI agents, chatbots).
• Proficiency with prompt engineering, RAG, and vector databases.

Strong Plus

• Cloud automation or integration of LLMs with DevOps/FinOps systems.
• Familiarity with LangChain, embeddings, semantic search.
• Prior startup/0→1 product experience.

Why Join BLOCKS

• Zero to One: The opportunity to build a category-defining product from scratch.
• True ownership: Small teams, high autonomy, fast learning cycles, and zero politics.
• Top-of-market compensation: Competitive salary and participation in a virtual stock option program.
• Relocation support: Assistance provided for candidates relocating to Berlin.