Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
About the role
- AI Engineer building multimodal AI systems and LLM applications at AION. Working directly with clients to develop and deploy intelligent agent solutions in hybrid environments.
Responsibilities
- Customer Engagement & Multimodal Agent Development
- Work directly at customer sites—from factory floors to executive offices—conducting discovery workshops and technical assessments to identify high-impact AI opportunities
- Design and architect end-to-end multimodal agent systems
- Build production-grade voice AI systems
- Develop vision-enabled agents processing real-time video streams
- Implement sophisticated multi-agent orchestration
- Rapidly prototype POCs
- Optimize for sub-500ms latency
- Integrate agents directly into customer codebases
- Act as trusted technical advisor to customers
- Data Strategy & MLOps Infrastructure
- Design data architectures
- Implement RAG systems
- Prepare and validate datasets
- Work with other MLEs, MLOps, SREs to carry out model deployment
- Observability, Evaluation & Production Operations
- Implement LLM and agents observability and monitoring
- Instrument applications
- Build evaluation frameworks
Requirements
- What You'll Do**Customer Engagement & Multimodal Agent Development
- Work directly at customer sites—from factory floors to executive offices—conducting discovery workshops and technical assessments to identify high-impact AI opportunities
- Design and architect end-to-end multimodal agent systems (voice + video + text) that leverage AION's distributed GPU infrastructure and managed services
- Build production-grade voice AI systems using STT, TTS APIs, and LLMs deployed on AION's platform
- Develop vision-enabled agents processing real-time video streams using computer vision pipelines on AION's infrastructure
- Implement sophisticated multi-agent orchestration with(or similar) frameworks like LangChain or LlamaIndex—enabling tool use, memory management, and autonomous task completion
- Rapidly prototype POCs in 2-4 weeks, coding alongside client teams to validate concepts and iterate based on feedback
- Optimize for sub-500ms latency, natural conversation flow, turn detection, and interruption handling in real-time systems
- Integrate agents directly into customer codebases via REST/GraphQL/WebSocket APIs and custom SDKs (Python, TypeScript)
- Act as trusted technical advisor to customers, shaping AI strategy and guiding roadmap decisions from concept to production**
- Data Strategy & MLOps Infrastructure
- Design data architectures with efficient processing pipelines and ingestion workflows for training and inference on AION's platform
- Implement RAG systems with vector databases—optimizing embedding strategies, chunk sizes, and retrieval methods
- Prepare and validate datasets for fine-tuning, evaluation, and synthetic data generation
- Work with other MLEs, MLOps, SREs to carry out model deployment and productionization**
- Observability, Evaluation & Production Operations
- Implement LLM and agents observability and monitoring—tracking token usage, latency, costs, and quality metrics across deployments on AION's infrastructure
- Instrument applications to trace LLM calls, retrieval operations, agent actions, and data flows
- Build evaluation frameworks with offline benchmarks (accuracy, relevance, safety metrics) and online monitoring (user feedback, drift detection)
Benefits
- **Why Join AION?**
- Work directly with high-pedigree founders shaping technical and product strategy.
- Build infrastructure powering the future of AI compute globally.
- Significant ownership and impact with equity reflective of your contributions.
- Competitive compensation, flexible work options, and wellness benefits.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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