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Senior AI Engineer (SLM, RAG & Agent Systems)

Senior AI Engineer (SLM, RAG & Agent Systems)

withRemote

4 - 8 years

14 - 24 Lacs

bengaluru

Posted:5 hours ago| Platform:

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Skills Required

langchain llama 3 python tensorflow data engineering websocket artificial intelligence natural language processing machine learning ml algorithms deep learning data science rest ai algorithms gcp vertex ai aws sagemaker fastapi llamaindex gemma computer vision ml

Work Mode

Remote

Job Type

Full Time

Job Description

Title: Senior AI Engineer - SLM, RAG & Agent Systems

Salary:

Working Days:

Working Hours:

Contract Duration:

Location:

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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