Infonimbus is building next-generation AI-powered software solutions that combine artificial intelligence, automation, and scalable cloud technologies. We are looking for an experienced AI Engineer who can design, develop, and deploy intelligent systems that solve real-world business problems.
The ideal candidate should have strong experience in Python, Machine Learning, LLM integrations, backend development, and production AI systems.
Role Overview
As an AI Engineer, you will work on designing and implementing AI-driven applications, developing machine learning pipelines, integrating large language models, and building scalable backend services.
You will collaborate with product and engineering teams to transform AI concepts into reliable production-ready solutions.
Responsibilities
- Design, develop, and deploy AI/ML solutions using Python and modern AI frameworks.
- Build and maintain backend services using FastAPI / Flask / Django.
- Develop AI pipelines for data processing, model training, evaluation, and inference.
- Work with Large Language Models (LLMs), prompt engineering, and AI agents.
- Integrate open-source and commercial AI models into applications.
- Develop APIs and services for AI-powered applications.
- Work with structured and unstructured data processing workflows.
- Optimize AI models for performance, scalability, and reliability.
- Implement data preprocessing, feature engineering, and model evaluation workflows.
- Collaborate with frontend and backend developers to integrate AI capabilities.
- Research and implement emerging AI technologies.
Required Skills
- Strong proficiency in Python programming.
- Experience with AI/ML frameworks:
- PyTorch
- TensorFlow
- Scikit-learn
- Hugging Face Transformers
- Experience building APIs using:
- FastAPI
- REST APIs
- Understanding of:
- Machine Learning algorithms
- Deep Learning concepts
- Neural Networks
- Model training workflows
- Experience with LLM technologies:
- OpenAI APIs
- Llama models
- Qwen / Mistral models
- Ollama
- LangChain or similar frameworks
- Experience with vector databases and AI search systems.
- Knowledge of databases:
- PostgreSQL
- MongoDB
- Redis
- Familiarity with Docker and cloud deployment.
- Understanding of Git workflows and software development practices.
Pay: Up to ₹5,039,763.15 per month
Benefits:
Work Location: Remote
