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Eminence Technology - Python Backend Engineer - Artificial Intelligence/Machine Learning

Posted on: 19/08/2025

Job Description

Job Description :


Python Backend Engineer (AI/ML Focus)


We are seeking an experienced Python Backend Engineer to design and manage scalable backend systems for AI/ML-driven products. The ideal candidate should have hands-on experience with backend microservices, Generative AI tools, Large Language Models (LLMs), LangChain, and AI/ML technologies. You should also be well-versed in building high-performance backend systems.


Required Skills and Experience

Python Backend Development :

- Strong experience with backend frameworks such as FastAPI and Flask.

- Expertise in developing and managing CRUD APIs.

- Hands-on experience implementing authentication mechanisms (e.g., OAuth, JWT).

- Proficiency in using RabbitMQ or similar message queues for asynchronous communication.

- Solid understanding of data structures and multithreading for building efficient backend solutions.

Generative AI and ML Expertise :


- Proven experience with Generative AI tools, Large Language Models (LLMs), and frameworks like LangChain.

- Experience with RAGs (Retrieval-Augmented Generation) to enhance the performance of LLMs.

- Hands-on experience with Vector Databases such as Pinecone, Chroma, and Faiss for building scalable and efficient search systems.

- Strong foundation in Natural Language Processing (NLP) and Machine Learning (ML).

- Basic knowledge of deep learning and computer vision (e.g., OCR).

Database Experience :


- Experience with SQL databases (e.g., MySQL, PostgreSQL) for relational data storage and management.

- Proficiency in MongoDB (NoSQL) for handling unstructured data and building flexible, scalable database solutions.

AWS Cloud Deployment (Basic Knowledge) :


- Basic understanding of deploying backend systems and AI/ML models on AWS services like EC2, S3, Lambda, and SageMaker.

Product Development Experience :


- Experience in designing and managing the entire backend architecture of scalable products.

- Strong problem-solving skills and the ability to write clean, efficient, and scalable code for production-grade applications.


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