Jobs on TAL
All jobsHybridEngineeringai/ml infra4-6 yearspython
HybridMid Levelai/ml infra

Agentic AI Engineer - Immediate Joiners only

Epitria ConsultingBengaluru, Karnataka, IndiaPosted 19 May 2026

Epitria Consulting is seeking an AI Engineer to build intelligent agentic systems and RAG architectures in the AI/ML infra space. The role involves designing multi-agent workflows, integrating LLMs with production-ready cloud deployments, and implementing observability frameworks. Candidates must have 4-6 years of experience with Python, LLM orchestration frameworks, and cloud-native tech like Docker and Kubernetes. The position requires a candidate based in Bengaluru capable of working in a hybrid, fast-evolving AI environment.

Matched by TAL

50k new jobs listed every day. Install TAL to find more jobs like this.

Install TAL

Experience

4-6 years

Function

Engineering

Work mode

Hybrid, India

Company

Tier 2

What you will work on

Epitria Consulting is seeking an AI Engineer to build intelligent agentic systems and RAG architectures in the AI/ML infra space. The role involves designing multi-agent workflows, integrating LLMs with production-ready cloud deployments, and implementing observability frameworks. Candidates must have 4-6 years of experience with Python, LLM orchestration frameworks, and cloud-native tech like Docker and Kubernetes. The position requires a candidate based in Bengaluru capable of working in a hybrid, fast-evolving AI environment.

TAL's take

Quality 50/1005/5 clarityTier 2 company

Defined role in a niche area of AI/ML, but at an unverified consulting firm.

Very clear responsibilities focused on Agentic AI, RAG, and specific toolsets.

Must haves

  • 4–6 years of software or AI engineering experience
  • Strong proficiency in Python and modern backend frameworks
  • Hands-on experience with LangChain, LlamaIndex, or similar
  • Strong understanding of RAG architectures and retrieval strategies
  • Experience building agentic workflows with tool use and memory
  • Experience deploying AI applications on cloud platforms
  • Strong knowledge of Docker and Kubernetes

Tools and skills

pythonfastapiflasklangchainllamaindexragvector databasespineconeweaviatefaisschromaagentic workflowsmcpawsazuregcpdockerkubernetesmicroservicesrest apis

Nice to have: multi-agent systems, prompt engineering, langsmith, weights & biases, streaming architectures.

About the company

unfamiliar company, default mid-tier