2026 - Senior LLM Agent Researcher/Engineer - Permanent
Tasks
- Architect LLM-powered applications
- Build RAG pipelines and conversational AI
- Collaborate with product and engineering teams
- Deploy and monitor in production
- Develop and maintain production LLM systems
- Develop autonomous agents and web agent systems
- Evaluate emerging AI tools and frameworks
- Improve observability and error handling
- Mentor junior engineers
- Optimize performance for low latency
- Own end-to-end development lifecycle
- Perform code reviews and automated testing
- Troubleshoot production incidents
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Systems | Artificial Intelligence | Automated testing | Code review | Continuous integration | Conversational AI | Error Handling | Language Models | Language Processing | Large Language Models | Low Latency | Machine Learning | Natural Language | Natural Language Processing | Observability | Python | Retrieval-Augmented Generation | Scalability
Education
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