Artificial Intelligence Engineer

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 : 4- 6 years

Location : Remote

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 :

• 4- 6 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