Posted on: 29/05/2026
Description :
- Drive experiments in fine-tuning, RAG, tool-calling, planning, and multi-agent architectures
- Stay current with research in LLMs, reasoning, and autonomous agents
- Translate research advances into production-ready AI capabilities
Engineering & Systems :
- Optimize LLM inference for latency, throughput, and cost
- Build reliable orchestration, memory, and control layers for agents
- Partner with infra teams on scaling, observability, and safety
People & Technical Leadership :
- Review system designs, prompts, evaluation frameworks, and code
- Drive execution while maintaining high engineering and research standards
Requirements :
- Hands-on experience building and deploying LLM-based systems
- Strong understanding of fine-tuning, RAG, tool calling, and agent frameworks
- Proficiency in Python and modern ML stacks
- Experience leading teams or technical pods
Nice to Have :
- Exposure to multi-agent systems or autonomous workflows
- Research or open-source contributions in GenAI or NLP
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