Agentic AI Engineer - Immediate Joiners only

Epitria Consulting LLC; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Epitria Consulting LLC is seeking an AI Engineer specializing in Agentic AI systems and cloud-native deployment. The role focuses on building autonomous, production-ready AI solutions using LLMs, RAG architectures, and MCP frameworks.

Candidate should have 5+ years of AI/software engineering experience, strong Python skills, and hands-on work with LangChain/LlamaIndex, vector databases, and cloud deployments. Hybrid work across Bengaluru/Hyderabad/Pune/Gurugram is offered.

Qualifications

• 5+ years of software or AI engineering experience.
• Proficiency in Python and modern backend frameworks.
• Hands-on with LLM frameworks (LangChain, LlamaIndex).
• Strong understanding of RAG, embeddings, and retrieval strategies.
• Experience with vector databases (Pinecone, Weaviate, FAISS, Chroma).
• Experience building agentic workflows (tool use, memory, planning, orchestration).
• Familiarity with MCP or similar tool-interaction paradigms.
• Experience deploying AI apps on cloud platforms (AWS/Azure/GCP).
• Knowledge of Docker, Kubernetes, and microservices.
• Experience designing and consuming REST APIs/async systems.

Responsibilities

• Design and build Agentic AI systems capable of planning and tool use.
• Develop and optimize RAG pipelines for enterprise use cases.
• Implement MCP or similar frameworks for tool orchestration
• Build multi-agent workflows and autonomous decision-making systems
• Deploy AI applications on cloud platforms with scalability and reliability
• Develop APIs and services to integrate LLM-powered features
• Work with vector databases and retrieval systems for knowledge access
• Optimize latency, cost, and performance of LLM apps
• Implement observability and monitoring for AI systems
• Collaborate with product and engineering teams to deliver production-grade AI solutions

Skills

Python

FastAPI/Flask

LangChain

LlamaIndex

RAG architectures

Vector databases

Docker

Kubernetes

REST APIs

Async systems

Tools

Pinecone

Weaviate

FAISS

Chroma

Job description

We are looking for an AI Engineer specializing in Agentic AI systems and cloud-native deployment. This role focuses on building intelligent, autonomous systems using LLMs, RAG architectures, and emerging protocols like MCP, with an emphasis on scalable, production-ready implementations.

Experience: 5 years - Minimum 5 years of experience is required.

Location: Hybrid - Bengaluru/ Hyderabad/ Pune/ Gurugram

Shift Timings: 12 PM - 9 PM IST

**Looking for immediate joiners only**

Key Responsibilities

• Design and build Agentic AI systems capable of planning, reasoning, and tool usage
• Develop and optimize RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases
• Implement and integrate Model Context Protocol (MCP) or similar frameworks for tool orchestration
• Build multi-agent workflows and autonomous decision-making systems
• Deploy AI applications on cloud platforms (AWS, Azure, GCP) with scalability and reliability
• Develop APIs and services to integrate LLM-powered features into products
• Work with vector databases and retrieval systems for efficient knowledge access
• Optimize latency, cost, and performance of LLM-based applications
• Implement observability, monitoring, and evaluation frameworks for AI systems
• Collaborate with product and engineering teams to deliver production-grade AI solutions

Required Skills & Qualifications

• 5+ years of experience in software engineering or AI engineering roles
• Strong proficiency in Python and modern backend frameworks (FastAPI, Flask, etc.)
• Hands‑on experience with LLM frameworks such as LangChain, LlamaIndex, or similar
• Strong understanding of RAG architectures, embeddings, chunking, and retrieval strategies
• Experience with vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.)
• Experience building agentic workflows (tool use, memory, planning, orchestration)
• Familiarity with MCP (Model Context Protocol) or similar tool-interaction paradigms
• Experience deploying AI applications on cloud platforms (AWS/Azure/GCP)
• Strong knowledge of Docker, Kubernetes, and microservices architecture
• Experience designing and consuming REST APIs / async systems

Preferred Qualifications

• Experience with multi-agent systems and orchestration frameworks
• Familiarity with prompt engineering, evaluation, and guardrails
• Knowledge of LLM observability tools (LangSmith, Weights & Biases, etc.)
• Experience with streaming architectures and real-time AI systems
• Exposure to security and governance in AI systems
• Understanding of cost optimization strategies for LLM usage

Soft Skills

• Strong problem-solving and system design skills
• Ability to work in fast-evolving AI landscapes
• Good communication and cross-functional collaboration