Senior AI Engineer
4 days ago
Title: Senior AI Engineer - SLM, RAG & Agent Systems
Salary: upto 100,000 per month, depending on experience and skills
Working Days: Monday to Saturday
Working Hours: 5PM to 2AM
Contract Duration: 3 months (with potential extension based on performance, project need)
Location: Remote
JD:
- Design and implement the core AI architecture, including SLMs, RAG systems, and multi-agent frameworks
- Fine-tune and optimize open-source models (Llama, Gemma, Phi-3) for business automation use cases
- Build and scale the memory layer with vector databases and retrieval systems
- Develop role-based AI agents for automated business workflows
- Implement privacy-safe learning loops between tenant SLMs and global LLMs
- Collaborate with backend engineers to deploy and monitor AI systems in production
Screening Parameters:
- Must show deployed production RAG systems with real users
- Experience with tool-calling patterns for integration platforms
- Hands-on SLM fine-tuning experience (not just API usage)
- Multi-agent system implementation in production
- Performance optimization and latency management
- Understanding of how AI agents interact with workflow automation systems
Projects Must Have/Done:
- Built customer-facing RAG system with vector databases
- Fine-tuned SLMs (Llama/Anthropic Claude Haiku/Google Gemma/Phi-3) for specific domains
- Deployed multi-agent systems (CrewAI/AutoGen/LangGraph)
- Production model serving and monitoring
- Real-time AI applications with WebSockets/streaming
TechStack:
- Core AI: Python, LangChain, LlamaIndex, Hugging Face, Transformers
- Models: Llama 3, Mistral, Phi-3, Gemma, DeepSeek
- Vector DBs: Pinecone, Weaviate, ChromaDB, Qdrant
- MLOps: vLLM, Ollama, MLflow, Weights & Biases
- APIs: FastAPI, WebSockets, REST, gRPC
- Cloud: AWS SageMaker, GCP Vertex AI
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