Senior ML/AI Engineer
Tasks
- Architect multi agent systems with tool calling and memory
- Build data processing pipelines
- Build internal products using LangChain ecosystem
- Build prompt management and evaluation tools
- Deploy LLMs and implement automated evaluation pipelines
- Implement observability for AI systems
- Implement vector storage and indexing
- Integrate third-party AI APIs
- Monitor and improve agent performance
- Orchestrate LLMs into AI workflows
- Support ML solutions and troubleshoot issues
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | Agentic Systems | Automated Evaluation | Docker | GCP | Git | LLM Deployment | Langchain | Langgraph | Langsmith | Long-term Memory | Machine Learning | NLP | Observability | Prompt engineering | Python | Tool-Calling | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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