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We help companies rethink operational processes with AI infrastructure. As an AI Engineer you build the core logic of our autonomous multi-agent systems and Graph RAG architectures. You make state-of-the-art models usable for real business processes and work closely with the rest of the team to deliver production-ready AI solutions.
Location & work mode
blcks is a remote-first company with flexible working hours. You can work from anywhere in the world; no fixed place of residence is required.
What you’ll do
- Building and optimizing autonomous AI agents with modern frameworks (LangChain, LlamaIndex) or custom runtimes
- Implementing complex RAG systems, semantic search and knowledge graphs
- Evaluating, fine-tuning and prompt engineering LLMs for specific enterprise requirements
- Integrating AI systems into existing customer infrastructure and optimizing performance
- Supporting management with technical feasibility analyses and contributing your ideas directly
- Helping design new software architectures to scale our agent systems efficiently
- Attending developer conferences and meetups to further expand our technical leadership
What you bring
- A passion for AI engineering – with or without years of experience, your motivation and programming skills are what count!
- Deep understanding of LLMs, embeddings, RAG architectures and vector databases
- Very good programming skills in Python and TypeScript
- Strong communication skills and team spirit to explain technical concepts clearly
- A structured, independent way of working and enjoyment in solving complex, unstructured problems
- The courage to think outside the box and develop innovative, unconventional approaches
- A strong interest in keeping up with the latest developments in AI
What we offer
- Join a rising AI startup with forward-looking AI projects
- Flexible working hours and the option to work from home
- Training opportunities to refine your knowledge of AI and software development
- Plenty of room for your ideas – we count on your initiative
- Access to state-of-the-art stacks, hardware resources and regular training
- The chance to actively shape the core product