AI Architect cum developer

United States Digital Space LLC; Karnataka; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

United States Digital Space LLC is seeking an AI/ML Python Engineer to design, build, and deploy robust backend architectures and cutting-edge AI solutions. The role emphasizes API development, microservices, and applying LLM/RAG techniques across cloud environments.

The ideal candidate will work with Python frameworks (Django/Flask/FastAPI), PySpark, and DevOps tools to deliver scalable APIs and AI-powered applications, leveraging Azure and AWS services in a modern backend stack.

Qualifications

• Strong proficiency in Python programming with hands-on experience in Django, Flask or FastAPI.
• Proven track record in Python API development and building/managing microservices.
• Experience with PySpark for large-scale data processing.
• Familiarity with Azure AI services and AWS AI services.
• Hands-on experience with LLMs and implementing RAG frameworks.
• Experience deploying on VM servers and cloud environments; Azure Cloud administration.

Responsibilities

• Design, develop, and maintain high-performance APIs and microservices using Python and modern frameworks.
• Build and integrate AI/ML models into production systems leveraging Azure/AWS AI services.
• Utilize PySpark for large-scale data processing and implement LLMs/RAG architectures.
• Manage, configure, and administer Azure Cloud environments to support hosting and AI workloads.
• Oversee deployments and CI/CD pipelines using GitHub and Jenkins across VM and cloud infrastructure.

Skills

Python

Django/Flask/FastAPI

API development

Microservices

PySpark

LLMs

RAG

Azure AI services

AWS AI services

CI/CD

GitHub

Jenkins

Azure Cloud

Docker

Kubernetes

Tools

Docker

Kubernetes

GitHub

Jenkins

Job description

We are looking for a highly skilled and innovative AI/ML Python Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying robust backend architectures and cutting edge artificial intelligence solutions. You will work extensively with modern Python frameworks to build microservices and APIs, while also leveraging the latest in AI/ML technologies, including Large Language Models (LLMs) and Retrieval Augmented Generation (RAG).

Key Responsibilities

• . Backend \& API Development: Design, develop, and maintain high performance, scalable APIs and microservices using Python and frameworks such as Django, Flask, and FastAPI.
• . AI & Machine Learning Solutions: Build and integrate AI/ML models into production systems. Leverage Azure AI services and AWS AI services to deliver intelligent solutions.
• . Advanced Data Processing: Utilize PySpark for large scale data processing and analytics. Implement and optimize LLMs and RAG architectures for advanced data retrieval and generation tasks.
• . Cloud Infrastructure & Administration: Manage, configure, and administer Azure Cloud environments to support application hosting and AI workloads.
• . Deployment & DevOps: Oversee the deployment lifecycle of applications. Build and maintain CI/CD pipelines using GitHub and Jenkins, managing deployments across VM servers and cloud infrastructure.

Required Skills & Qualifications

Core Programming & Frameworks

• . Strong proficiency in Python programming.
• . Deep understanding and hands on experience with Django, Flask, or FastAPI.
• . Proven track record in Python API development and building/managing Microservices.

AI & Machine Learning

• . Practical experience working with AI/ML technologies and libraries.
• . Proficiency in big data processing using PySpark.
• . Familiarity with Azure AI services and AWS AI services.
• . Hands on experience working with LLMs (Large Language Models) and implementing RAG (Retrieval Augmented Generation) frameworks.

Cloud & DevOps

• . Experience with Deployment strategies on VM Servers and Cloud environments.
• . Proficiency with CI/CD tools, specifically GitHub and Jenkins.
• . Solid background in Azure Cloud Administration.

Nice to Have

• . Experience with containerization technologies (Docker, Kubernetes).
• . Knowledge of best practices for securing APIs and cloud infrastructure.
• . Excellent problem solving skills and ability to work in an agile, collaborative environment.

Your future duties and responsibilities

Required qualifications to be successful in this role

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