
AI System Designer
2 days ago
Job Opportunity
We seek a visionary leader to spearhead the design and integration of cutting-edge AI systems. This role demands a strong technical foundation in machine learning, deep learning, and AI infrastructure.
Key Responsibilities:
- Design and oversee implementation of LLM-based solutions at scale, including fine-tuning, prompt engineering, and RAG-based systems.
- Collaborate with product, engineering, and data teams to translate business requirements into architectural blueprints and technical roadmaps.
- Define and enforce AI/ML infrastructure best practices, including security, scalability, observability, and model governance.
- Manage technical roadmap, sprint cadence, and 3–5 AI engineers, coach on best practices.
Requirements
- 9+ years of experience in AI/ML engineering or data science, with 2+ years in AI architecture or system design.
- Strong understanding of agentic AI design principles, multi-agent orchestration, and tool-augmented LLMs.
- Proficiency with cloud-native ML/AI services and infrastructure design across AWS, GCP, or Azure.
- Familiarity with data governance, AI ethics, and security considerations in production-grade systems.
Preferred Skills
- Languages: Python, SQL, Bash.
- ML/AI Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers.
- GenAI & LLM Tooling: OpenAI APIs, LangChain, LlamaIndex, Cohere, Claude, Azure OpenAI.
- Agentic & Multi-Agent Frameworks: LangGraph, CrewAI, Agno, AutoGen.
- Search & Retrieval: FAISS, Pinecone, Weaviate, Elasticsearch.
- Cloud Platforms: AWS, GCP, Azure.
- MLOps & DevOps: MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines, Terraform, FAST API.
- Data Tools: Snowflake, BigQuery, Spark, Airflow.
Why Work With Us
At space-inventive, we are dedicated to pushing the boundaries of innovation and driving meaningful impact through our work. As a Data Science leader, you will have the opportunity to work alongside a talented team of experts, learn from their experiences, and contribute your expertise to shape the future of AI.
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