Senior ML/AI Engineer
Tasks
- Add observability for AI systems
- Architect multi-agent systems
- Build automated evaluation pipelines
- Build data processing pipelines
- Deploy and maintain ML solutions
- Develop prompt management tools
- Extend products using LangChain ecosystem
- Implement vector storage and indexing for NLP
- Integrate third-party AI APIs
- Monitor agentic systems performance
- Orchestrate LLMs into AI workflows
- Troubleshoot ML solution issues
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Agent systems | Automated Evaluation | Cloud infrastructure | Data Engineering | Data Pipelines | Docker | GCP | Git | Information Retrieval | LLM orchestration | Langchain | Langgraph | Langsmith | Language Processing | Long-term Memory | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | Tool-Calling | Vector Databases | Vector indexing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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