Senior AI Engineer

Tasks

• Build agentic LLM solutions
• Collaborate with stakeholders to deliver insights
• Document processes and procedures
• Implement LLM evaluation and quality assurance
• Investigate and develop cloud based MCP solutions
• Maintain and evolve AI machine learning projects
• Own projects and tasks
• Troubleshoot AI ML incidents and problems
• Verify output consistency and accuracy

Perks/Benefits

• Flexible work schedule
• Hybrid work from home

Skills/Tech-stack

Agentic AI | Agile | Amazon Web Services | FastAPI | Git | Knowledge graphs | LLM Evaluation | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | MLOps | OOP | OpenSearch | Pandas | Prompt engineering | PyTorch | Python | RAG | Redis | Scrum | Spacy | Valkey | Vector embeddings | Web Services