Senior AI Engineer
Tasks
- Build agentic LLM solutions
- Collaborate with stakeholders for business insights
- Develop cloud based MCP solutions
- Document processes and procedures
- Maintain and evolve AI ML projects
- Own projects and deliver outcomes
- Troubleshoot incidents and resolve issues
- Verify output consistency and accuracy
- Work in Agile Scrum iterations
Perks/Benefits
- Breakfast fruits and lunch
- Career development
- Fitness-wellness allowance
- Hybrid work model
- Private health insurance
- Private mobile phone
- Soft skill training opportunities
- Team building events
- Technical training opportunities
Skills/Tech-stack
AI Agents | Agile Scrum | Amazon Web Services | FastAPI | Git | Knowledge graphs | LLM Evaluation | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | MLOps | Object-Oriented | Object-oriented programming | OpenSearch | Pandas | Prompt engineering | PyTorch | Python | RAG | Redis | Retrieval-Augmented Generation | Spacy | Valkey | Vector embeddings | Web Services
Education
N/A
Roles
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