
11 - 50 employees
🤖 Artificial Intelligence
⚡ Productivity
☁️ SaaS
Artificial Intelligence • Productivity • SaaS
Paralucent is a company that operates at the intersection of technology and creativity, focusing on driving automation and fusing intelligence to empower productivity. They aim to simplify documentation and enhance business processes through innovative technology solutions. Paralucent offers its expertise to clients seeking to integrate advanced AI solutions into their operations, helping them to optimize their workflows and increase efficiency.
🔥 7 hours ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
🤖 Artificial Intelligence
⚡ Productivity
☁️ SaaS
Artificial Intelligence • Productivity • SaaS
Paralucent is a company that operates at the intersection of technology and creativity, focusing on driving automation and fusing intelligence to empower productivity. They aim to simplify documentation and enhance business processes through innovative technology solutions. Paralucent offers its expertise to clients seeking to integrate advanced AI solutions into their operations, helping them to optimize their workflows and increase efficiency.
• Design and implement RAG-based architectures using Azure OpenAI and Azure AI Search • Develop backend APIs and services to support GenAI applications • Architect and deploy Azure serverless solutions (Azure Functions, Logic Apps, Container Apps) • Build scalable data pipelines for indexing, embedding, and retrieval workflows • Implement CI/CD pipelines for AI systems using Azure DevOps or GitHub Actions • Define and implement system architecture ensuring performance, scalability, and high availability • Apply infrastructure as code using Terraform or Bicep • Collaborate with frontend, data, and AI teams to deliver end-to-end GenAI solutions • Enforce security, governance, and compliance best practices
• Hands-on experience building RAG solutions in production • Strong understanding of LLMs, embeddings, vector search, prompt engineering • Experience with Azure AI Search and Azure OpenAI • Knowledge of agentic workflows (preferred) • Strong experience with Azure Functions, Azure Container Apps, Azure App Services • Azure Storage & Key Vault • Solid understanding of Azure networking & identity management • Experience designing serverless architectures • Strong proficiency in Python, Java or node.js • REST API development and microservices • Strong system design capabilities • CI/CD pipelines (Azure DevOps / GitHub Actions) • Docker & Kubernetes (good to have) • Infrastructure as Code (Terraform / Bicep)
• Work from anywhere in India • Collaborate with global teams
Apply Now🕒 2 days ago
501 - 1000
Back-End Python Engineer designing scalable RESTful APIs and microservices at Miratech. Focused on cloud technologies and backend development in a global IT services context.
Angular
AWS
Cloud
DynamoDB
EC2
JavaScript
Microservices
NoSQL
Python
React
SQL
Terraform
Vue.js
🕒 2 days ago
501 - 1000
Building and maintaining scalable backend systems using Python and AWS for a global IT consulting company. Collaborating across teams to deliver reliable and efficient solutions.
Angular
AWS
Cloud
DynamoDB
EC2
Microservices
MongoDB
MySQL
NoSQL
Postgres
Python
React
Splunk
SQL
Terraform
Vue.js
🕒 2 days ago
501 - 1000
Back-End Python Engineer developing scalable AWS applications for Miratech. Collaborating across teams to design and maintain secure backend systems using cloud technologies and Python.
AWS
Cloud
DynamoDB
EC2
Microservices
MongoDB
MySQL
NoSQL
Postgres
Python
Splunk
SQL
Terraform
🕒 2 days ago
501 - 1000
Back-End Python Engineer building and maintaining scalable backend systems using Python at Miratech. Designing RESTful APIs and integrating cloud technologies.
Angular
AWS
Cloud
DynamoDB
EC2
JavaScript
Microservices
MongoDB
MySQL
NoSQL
Postgres
Python
React
Splunk
SQL
Terraform
Vue.js
🕒 2 days ago
SharePoint Administrator responsible for SharePoint and Project Server management on AWS. Collaborating with teams for operational stability and cloud migrations.
AWS
DNS
EC2
SQL
TCP/IP