Senior AI/ML Engineer - LLM System
Description
Senior AI / ML Engineer (Agentic AI & LLM Systems)
Are you passionate about building the future of AI Agents? Join an innovative AI technology organization developing a next-generation Agent Operating System (Agent OS) that enables users to create, orchestrate, deploy, monitor, and operate AI agents from a single unified platform.
Location : Hybrid
- Remote candidates across India are welcome
Experience : 8- 10 Years
What You'll Work On :
- Design and develop agent orchestration and reasoning systems
- Build multi-agent workflows and execution pipelines
- Develop RAG architectures, memory systems, embeddings, and vector search
- Integrate multiple LLM providers through a unified model layer
- Implement AI observability, evaluation frameworks, and guardrails
- Optimize inference performance, latency, and cost
- Contribute to AI Governance and AI Security initiatives
- Build reusable agent frameworks and prompt engineering solutions
Required Skills :
- Strong Python expertise
- LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen
- Agentic AI Platforms & Multi-Agent Systems
- RAG Architecture
- Vector Databases (Pinecone, Weaviate, Qdrant, pgvector)
- LLMOps & Prompt Engineering
- AWS, Azure, or GCP
Preferred Skills :
- Open-weight model fine-tuning
- AI Gateway implementation
- AI Governance & AI Security frameworks
- Open-source AI contributions
Why Join?
- Build a cutting-edge Agent Operating System from the ground up
- Work with advanced AI, LLMs, and multi-agent architectures
- Flexible hybrid/remote work environment
- Opportunity to shape the future of enterprise AI platforms
Immediate joiners are highly preferred.
If you're excited about Agentic AI, LLM Engineering, RAG, and building intelligent autonomous systems at scale, we'd love to hear from you.
