Artificial Intelligence Engineer

AI Engineer – GenAI / Agentic AI

Company: Innefu Labs

Experience Required: Minimum 2 years of relevant experience in AI/LLM-based GenAI application development

Location: Delhi

Employment Type: Full-time

About Innefu Labs

Innefu Labs is a leading AI-driven company focused on building cutting-edge cybersecurity, analytics, and AI-powered enterprise solutions. We are looking for passionate and highly motivated engineers interested in building modern LLM-powered agentic systems using frameworks like LangChain and ReAct-style architectures.

Role Overview

We are seeking an AI Engineer with strong software engineering fundamentals and hands-on experience or keen interest in AI agents, LLM applications, workflow orchestration, RAG systems, and tool-calling systems. The ideal candidate should be excited about experimenting with modern AI frameworks and building scalable GenAI applications for production environments.

Mandatory / Required Skills

• Python
• JavaScript / TypeScript
• LangChain
• Agentic AI concepts
• ReAct architecture basics
• REST APIs
• Prompt engineering
• Git/GitHub
• Backend development fundamentals
• LLM applications
• RAG pipelines
• Tool calling
• Workflow orchestration
• Vector databases (basic understanding)
• API integrations

Bonus / Preferred Skills

• Node.js
• React.js
• Flowise
• OpenClaw
• LangGraph
• CrewAI
• AutoGen
• FastAPI
• Next.js
• Docker
• Redis
• Kubernetes
• Ollama
• vLLM
• Local LLM deployment
• Vector databases
• MCP (Model Context Protocol)
• AI observability and tracing
• Multi-agent systems

Key Responsibilities

• Build and maintain AI agent-based applications
• Develop ReAct-style workflows and AI orchestration pipelines
• Integrate LLMs with APIs, tools, and databases
• Work on RAG and vector search systems
• Build backend services for AI applications
• Debug, monitor, and optimize AI workflows
• Collaborate with engineering teams on architecture and feature development
• Experiment with modern AI frameworks, orchestration systems, and tools
• Help scale AI applications for production usage
• Contribute to performance optimization, observability, and reliability of AI systems

Candidate Profile

• Strong problem-solving and analytical skills
• Passion for AI, LLMs, and emerging technologies
• Quick learner with high adaptability
• Ability to independently explore new frameworks and tools
• Experience with personal, academic, freelance, or open-source AI projects
• Comfortable working in fast-paced engineering environments
• Strong communication and collaboration skills

Preferred Project Experience

Candidates with experience in the following domains will be preferred:

• AI chatbots
• AI agents
• RAG applications
• Workflow orchestration systems
• LLM integrations
• AI copilots
• Multi-agent systems
• AI search systems
• Local/offline LLM deployments