(Senior/Staff) AI Engineer - Agentic Systems
Role details
Job location
Tech stack
Job description
We're looking for an experienced (Senior/Staff) AI Engineer (m/f/d) to help build the next generation of agentic AI systems powered by Large Language Models (LLMs). You'll be working at the intersection of reasoning, tool-use, and memory, designing intelligent agents that operate in complex environments, interact with APIs and structured data, and drive real-world outcomes. This is a hands-on role for someone who wants to go beyond prompt engineering, building robust decision pipelines and shipping product-ready agents across both text and voice modalities., * Design & Optimize Workflows: Design, implement, and optimize agentic workflows using LLMs.
- Build Tool-Using Agents: Create agents that interact with external APIs, databases, and environments.
- Develop Voice Agents: Work on voice-enabled agents, including pipeline design, transcription, and dialogue management.
- Integrate Memory & State: Implement retrieval, long-term memory, and state tracking into agent architectures.
- Deploy in Production: Collaborate with product teams to deploy agents in production.
- Evaluate & Improve: Design and run experiments to evaluate agent performance, correctness, and hallucination rates
- Translate Product Needs: Turn high-level product requirements into scalable, testable agentic features
Requirements
Do you have experience in Python?, Do you have a Master's degree?, * LLM Expertise: Strong experience building with LLMs (e.g., OpenAI, Claude, Mistral, open-source models)
- Agentic Frameworks: Familiarity with agentic frameworks (e.g. LangChain)
- Programming Proficiency: Proficient in Python and modern ML tooling (e.g., Hugging Face, PyTorch, Ray, etc.)
- Tool Integration: Experience with tool integration, calling APIs, managing memory/state, or SQL query generation
- Voice AI: Experience working with voice agents, ASR, or TTS pipelines-or a strong willingness to learn them
- Startup Mindset: Comfortable in an iterative, fast-paced product environment