- Design and manage automated AI and data workflows using tools such as n8n and Python. Build pipelines to extract and process information from complex, unstructured documents including financial reports, PDFs, scanned documents, and tables. Use modern document intelligence and layout-parsing tools such as Docling, LlamaParse, or similar technologies. Convert unstructured data into clean, structured JSON, Markdown, and AI-ready datasets. Build and maintain RAG pipelines, embeddings, and vector database workflows. Work with vector databases such as Qdrant, Pinecone, Weaviate, Milvus, or ChromaDB. Integrate and orchestrate LLMs, AI agents, and third-party AI APIs. Develop backend APIs and services using Python, FastAPI, Flask, or Django. Deploy and maintain AI services using Docker, cloud infrastructure, and CI/CD pipelines. Support model deployment, monitoring, optimization, and production reliability. Build automated workflows for data processing, AI inference, evaluation, and business operations. Collaborate with AI and software engineers to prepare high-quality datasets for model training and fine-tuning. Continuously evaluate emerging AI frameworks, models, tools, and infrastructure.
- Strong Python programming and scripting skills. Strong logical thinking and problem-solving ability. Understanding of JSON, APIs, data structures, and data processing. Familiarity with LLMs, Generative AI, prompt engineering, embeddings & RAG. Knowledge of databases and vector databases. Understanding of REST APIs and backend development. Familiarity with Git and version control. Basic understanding of Docker, cloud platforms, and deployment workflows. Ability to troubleshoot data and automation pipelines independently.



Strong curiosity and willingness to learn rapidly in a fast-changing AI workplace.
- Experience with n8n or other workflow automation platforms. Experience with Qdrant, LangChain, LangGraph, LlamaIndex, Hugging Face, or similar frameworks. Experience with Docling, LlamaParse, OCR, or document-processing pipelines. Familiarity with PostgreSQL, MongoDB, Redis, or other databases. Knowledge of Docker, Kubernetes, AWS, Azure, or Google Cloud. Understanding of MLOps, model serving, monitoring, and observability. Experience building APIs, AI agents or production AI applications. Strong GitHub profile, portfolio, or personal AI projects

Who particularly interested in logical freshers and early-career engineers who can demonstrate strong technical thinking and a genuine interest in AI.Your degree matters less than your ability to think sharply, solve complex problems, build, experiment, debug, and learn fast..

Pay: ₹15,000.00 - ₹25,000.00 per month

Application Question(s):

- How would you rate your proficiency in Artificial Intelligence, on a scale of 1 - 5?

- Are you comfortable with performance-based targets?
- This role requires working on-site at Vaishali, Ghaziabad - Delhi NCR. Are you able to comply?
- Joining availability: If selected, how soon can you join (in days)?
- What are your monthly Stipend Expectations (in INR)?

- Are you currently employed?
- What interests you about this role? (1–2 lines)
- Briefly describe your future plans related to Education, Career, and Personal goals.
- Why do you believe you are a strong fit for this role?
- How would you rate your English communication and pronunciation skills, on a scale of 1 - 5?

Work Location: In person

📌 AI Platform & Automation Engineer (India)
🏢 CREATIVE IDEA TECHNOLOGY PRIVATE
📍 India