AI Engineer
- Erfahrung
- ab 2 Jahren
- Englisch
- B1, erforderlich
- Methoden
- CI/CD, MLOps
- Ausbildung
- Bachelor
AI Development · Design, implement and quality assurance on AI-powered applications using LLMs, agent frameworks, RAG pipelines, and embedding models. · Build integrations between AI agents (such as OpenClaw) and enterprise systems (ERP, CRM, document stores, messaging platforms). · Develop APIs, microservices, and automation workflows that expose AI capabilities to customer applications.
Model Integration & Optimization · Integrate and benchmark commercial and open-source LLMs for enterprise use cases. · Implement prompt engineering, retrieval augmentation, context window management, and output validation. · Optimize inference latency, throughput, and cost per token across workloads.
Quality, Security & Governance · Implement guardrails, content filtering, and human-in-the-loop controls for enterprise deployments. · Ensure data residency, privacy compliance, and audit logging meet customer and regulatory requirements. · Document technical architecture and deployment playbooks for customer and internal use.
Job
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred. · 2 years or above of experience in software engineering, MLOps, or AI/ML system development. · Strong programming skills in Python. Experience with TypeScript, Go, or Java is a plus. · Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) and agent frameworks (LangChain, Llama
Index, or equivalent). · Experience deploying and