As an AI Engineer, you will help design, develop, and deploy intelligent applications powered by artificial intelligence, machine learning, and large language models. You will leverage your expertise in AI technologies, software engineering, data processing, and model integration to build scalable, secure, and production-ready AI solutions that solve real-world business problems.

Your responsibilities may include developing AI-powered applications, integrating large language models (LLMs), implementing retrieval-augmented generation (RAG) systems, building intelligent automation workflows, optimizing AI model performance, collaborating with cross-functional teams, and deploying AI services into production environments. Responsibilities

Design, develop, and maintain AI-powered applications and intelligent software solutions. Build and integrate Large Language Models (LLMs) into real-world applications.

Develop

Retrieval-Augmented Generation (RAG) systems using vector databases. Create AI workflows using prompt engineering, AI agents, and automation frameworks. Develop REST APIs and backend services that power AI applications.

Optimize AI model performance, inference speed, and scalability. Work with structured and unstructured datasets for AI applications. Evaluate, fine-tune, and improve AI model outputs through testing and iteration.

Collaborate with software engineers, data scientists, and product teams. Deploy AI applications to cloud platforms and production environments. Follow software engineering best practices, documentation standards, and AI governance principles.

Continuously learn emerging AI technologies, frameworks,



and industry advancements. Requirements

Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, Data Science, or a related field. Strong analytical and problem-solving skills. Good understanding of Python programming and software development fundamentals.

Basic understanding of Artificial Intelligence, Machine Learning, and Deep Learning concepts. Familiarity with APIs, databases, and backend development. Good understanding of data structures, algorithms, and object-oriented programming.

Excellent written and verbal communication skills. Ability to quickly learn new AI frameworks and technologies. Prior internship, academic projects, or AI development experience is preferred but not mandatory.

Preferred

Qualifications

Experience working with OpenAI, Anthropic, Google Gemini, Claude, or other LLM APIs. Familiarity with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar AI frameworks.

Experience building RAG applications using vector databases such as Pinecone, Weaviate, Qdrant, ChromaDB, or FAISS. Knowledge of Prompt Engineering and AI Agent development.

Experience deploying AI applications using Docker and cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with FastAPI,



Flask, Django, or Node.js backend development. Understanding of Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.

Experience with Git and collaborative software development workflows. Basic understanding of MLOps concepts and AI model deployment. Solid attention to detail with a passion for building reliable AI systems. Skills

Artificial Intelligence Machine Learning Large Language Models (LLMs) Generative AI Python Prompt Engineering LangChain LangGraph LlamaIndex AI Agents Retrieval-Augmented Generation (RAG) Vector Databases OpenAI API Claude API Google Gemini FastAPI REST APIs PyTorch TensorFlow Docker Git & Version Control Cloud Computing Problem Solving Team Collaboration Communication Skills Compensation

Projects are compensated based on complexity and duration, with earnings ranging from ₹130/hour to ₹387/hour. What You'll Gain

Build cutting-edge AI applications used in real-world enterprise environments. Gain hands-on experience with Generative AI, LLMs, AI Agents, and Retrieval-Augmented Generation (RAG). Learn production-grade AI architecture, cloud deployment, and scalable AI application development.

Work alongside experienced AI engineers, software developers, and machine learning specialists. Develop expertise in AI product development, intelligent automation, and modern AI frameworks. Build a strong foundation for career growth in AI Engineering, Machine Learning Engineering, Generative AI Engineering, LLM Engineering, AI Solutions Architecture, or AI Platform Engineering.

📌 AI Engineer (Mumbai)
🏢 Data Eminence
📍 Mumbai