Related skills
python go typescript langchain llamaindex📋 Description
- Architect Safe’s AI systems: LLM orchestration, RAG, vector stores.
- Productionize AI agents: multi-turn, goal-driven reasoning.
- Own AI infra and platform: deploy models, APIs, versioning.
- Data pipelines and knowledge graphs: ingest, indexing, retrieval.
- AI evaluation, monitoring, governance: safety and HITL.
- Mentor and scale teams: guide AI/backend engineers.
🎯 Requirements
- 12+ years software engineering, 4+ years AI/ML systems.
- Python, Go, or TypeScript programming.
- LLM architectures, prompt engineering, RAG pipelines.
- LangChain, LlamaIndex, or equivalent orchestration.
- Vector databases: FAISS, Pinecone, Weaviate, Redis Vector.
- Cloud deployment: SageMaker, Bedrock, Vertex AI.
- Data systems: Snowflake, Iceberg, S3, Postgres/MySQL.
🎁 Benefits
- Unlimited vacation policy.
- High-trust work environment.
- Culture is Our Strategy; Culture Memo linked.
- Continuous learning opportunities.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!