Position: Software Engineer / AI Engineer
Location: Remote & Sometime (On-site Preferred)
Employment Type: Full-time
Experience: 1–5 Years
About Infactra AI
Infactra AI is an Enterprise AI platform that helps organizations automate workflows, deploy AI Agents, integrate with ERP/CRM systems, and build secure AI solutions for enterprises. We are developing next-generation AI products powered by Large Language Models (LLMs), Agentic AI, RAG, and enterprise data.
Role Overview
We are looking for a passionate Software Engineer / AI Engineer with expertise in the MERN Stack and Generative AI. The ideal candidate should have experience building scalable web applications, integrating LLMs, fine-tuning open-source models, and developing AI-powered enterprise applications.
Key Responsibilities
- Develop scalable web applications using the MERN Stack (MongoDB, Express.js, React.js, Node.js).
- Design and build REST APIs and microservices.
- Integrate OpenAI, Llama, Qwen, Mistral, DeepSeek, or other LLMs into enterprise applications.
- Fine-tune open-source language models using enterprise datasets.
- Build Retrieval-Augmented Generation (RAG) pipelines with vector databases.
- Develop AI Agents for workflow automation and enterprise productivity.
- Implement prompt engineering, evaluation, and model optimization.
- Work with embeddings, semantic search, and document indexing.
- Deploy AI models using Docker, Kubernetes, or cloud platforms.
- Integrate AI solutions with ERP, CRM, and business applications.
- Optimize application performance, scalability, and security.
- Collaborate with product, design, and business teams to deliver AI solutions.
Required SkillsFull-Stack Development
- MongoDB
- Express.js
- React.js
- Node.js
- TypeScript / JavaScript
- REST APIs
- Git & GitHub
AI / Machine Learning
- Python
- PyTorch or TensorFlow
- Hugging Face Transformers
- PEFT / LoRA / QLoRA fine-tuning
- Prompt Engineering
- RAG Architecture
- LangChain or LlamaIndex
- Vector Databases (Pinecone, Qdrant, ChromaDB, Milvus, FAISS)
- Model evaluation and optimization
LLM Experience
- Llama
- Qwen
- Mistral
- DeepSeek
- Gemma
- OpenAI APIs
- Ollama or vLLM
- Knowledge of model quantization and inference optimization
DevOps
- Docker
- Kubernetes (preferred)
- Linux
- AWS / Azure / GCP (preferred)
- CI/CD pipelines
Database
- MongoDB
- PostgreSQL / MySQL
- Redis
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, AI, or a related field.
- 2–5 years of software engineering experience.
- Experience building production AI applications.
- Experience with enterprise integrations (ERP/CRM) is a plus.
- Knowledge of AI security, model deployment, and monitoring.
Bonus Skills
- MCP (Model Context Protocol)
- AI Agents
- Multi-Agent Systems
- Computer Vision
- Speech-to-Text / Text-to-Speech
- NVIDIA GPU optimization
- ONNX / TensorRT
- Oracle JD Edwards integration
- Manufacturing AI or ERP domain knowledge
What You'll Build
- Enterprise AI Platform
- Company GPT
- AI Agents
- Workflow Automation
- Enterprise Search
- Document Intelligence
- AI Dashboards
- ERP & CRM Integrations
- Foundation Models for Enterprises
Pay: ₹25,704.09 - ₹55,942.55 per month
Work Location: Remote
