AI/LLM Engineer

Job Description – AI / LLM Engineer

• *Company:** Kybrix Technologies Pvt Ltd
• *Position:** AI / LLM Engineer
• *Experience:** 1\+ Years
• *Employment Type:** Full\-Time
• *Location:** Mohali, Punjab (On\-site)

About the Role

Kybrix Technologies is seeking an AI / LLM Engineer passionate about Generative AI, Agentic AI, Large Language Models (LLMs), and AI Automation.

The ideal candidate should have hands\-on experience working with open\-source LLMs such as Llama, Qwen, DeepSeek, Mistral, and GPT\-based systems. You will be responsible for deploying, configuring, fine\-tuning, and orchestrating AI agents capable of performing complex business tasks autonomously.

You will work on cutting\-edge AI platforms involving multi\-agent systems, autonomous workflows, OCR\-based document intelligence, Retrieval\-Augmented Generation (RAG), and enterprise AI solutions.

Key ResponsibilitiesLLM Engineering

• Install, configure, and deploy open\-source LLMs.
• Work with models such as:
• Llama
• Qwen
• DeepSeek
• Mistral
• Gemma
• GPT\-based models
• Fine\-tune and optimize models for business\-specific use cases.
• Perform prompt engineering and model evaluation.
• Optimize inference performance using:
• vLLM
• Ollama
• Hugging Face TGI
• TensorRT\-LLM

Agentic AI Development

• Design and build AI agents capable of autonomous task execution.
• Develop planning agents and reasoning workflows.
• Build multi\-agent systems using:
• LangGraph
• CrewAI
• OpenAI Agents SDK
• AutoGen
• LangChain

RAG \& Knowledge Systems

• Build Retrieval\-Augmented Generation (RAG) solutions.
• Implement document ingestion pipelines.
• Develop semantic search systems.
• Work with vector databases including:
• Qdrant
• Pinecone
• Weaviate
• ChromaDB

OCR \& Document Intelligence

• Build intelligent document processing systems.
• Extract information from:
• PDFs
• Invoices
• KYC documents
• Contracts
• Forms
• Integrate OCR systems with AI workflows.
• Work with:
• Tesseract OCR
• EasyOCR
• Google Vision AI
• Azure Document Intelligence

AI Infrastructure

* Deploy AI workloads on

• Kubernetes
• Docker
• Linux Servers
• GPU Infrastructure
• Configure model serving environments.
• Monitor performance, latency, and GPU utilization.

Development \& Integration

• Build REST APIs and backend services.
• Integrate AI services with web applications.
• Develop scalable microservices for AI workflows.
• Collaborate with product and engineering teams.

Required SkillsProgramming

• Python
• FastAPI
• REST APIs

AI/ML Frameworks

• PyTorch
• TensorFlow
• Hugging Face Transformers
• PEFT
• LoRA
• QLoRA

LLM Technologies

• Llama
• Qwen
• DeepSeek
• Mistral
• OpenAI APIs
• Anthropic APIs

Agent Frameworks

• LangChain
• LangGraph
• CrewAI
• AutoGen
• OpenAI Agents SDK

Vector Databases

• Qdrant
• Pinecone
• Weaviate
• ChromaDB

Cloud \& DevOps

• Docker
• Kubernetes
• Linux
• AWS
• Azure
• GCP

Databases

• PostgreSQL
• MongoDB
• Redis

Preferred Qualifications

• Experience deploying models on GPU servers.
• Experience building AI agents from scratch.
• Knowledge of MCP (Model Context Protocol).
• Understanding of distributed AI systems.
• Experience with RAG and vector search architectures.
• Familiarity with AI observability and monitoring tools.

Nice to Have

• Experience with OpenClaw.
• Experience with AI marketplaces and agent platforms.
• Knowledge of MLOps practices.
• Knowledge of CI/CD pipelines for AI systems.
• Experience working with Kubernetes\-based AI deployments.

What You'll Work On

• AI Agent Marketplace Platform
• Autonomous Coding Agents
• Testing Agents
• Planning Agents
• OCR\-based Document Intelligence Systems
• Enterprise AI Automation Solutions
• Multi\-Agent Orchestration Platforms
• AI\-Powered Business Applications

Pay: ₹15,000\.00 \- ₹30,000\.00 per month

Benefits

• Paid sick time

Work Location: In person