Related skills
docker aws python langchain langgraph📋 Description
- Strong software engineering fundamentals for production-grade systems.
- 4+ years in ML or Data Engineering roles.
- Python (or ML-focused high-level language) proficiency.
- Design and deploy LLM-powered applications in production.
- Architect multi-agent systems with tool-calling and memory strategies.
- Build automated evaluation pipelines (LLM-as-a-judge).
🎯 Requirements
- 4+ years of experience in ML Engineering or Data Engineering
- Strong programming in Python
- Experience designing and deploying LLM-powered applications in production
- Hands-on experience architecting multi-agent systems, including tool-calling and long-term memory strategies
- LangChain ecosystem experience (LangGraph/LangSmith) for prompts, evaluation, and orchestration
- Familiarity with cloud infrastructure (AWS and/or GCP), Docker, and Git
🎁 Benefits
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards
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