Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services.
Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.
About the Role
We are seeking a highly skilled and versatile Full Stack Developer to join our technology team.
This role is ideal for someone who thrives in a fast-paced environment and is passionate about building scalable, performant applications across the stack—from backend services to modern frontend interfaces.
You’ll also have the opportunity to work on cutting‑edge AI agent workflows and contribute to LLM development.
Key Responsibilities
- Design, develop, and maintain backend services using Python
- Build responsive and dynamic frontend applications using React, Vite, and TypeScript
- Architect and deploy cloud‑native applications on Microsoft Azure
- Design and manage relational databases, primarily PostgreSQL
- Collaborate on LLM development and integrate AI capabilities into the application.
- Develop and optimize AI agent workflows using tools like LangChain, LangGraph, etc.
- Implement and maintain CI/CD pipelines for automated testing and deployment of applications using Docker and orchestrated with Kubernetes.
- Work with GraphQL APIs for efficient data querying and manipulation.
- Collaborate with cross‑functional teams, including data scientists and ML engineers.
Required Qualifications
- Strong proficiency in Python for backend development.
- Solid experience with React, Vite, and TypeScript.
- Hands‑on experience with Azure Cloud Services (e.g., Functions, App Services, AI Foundry, etc.
- Proficiency in PostgreSQL and relational database design.
- Familiarity with LLM development and AI integration workflows.
Preferred Qualifications
- Understanding of LangChain, LangGraph, or similar frameworks is a plus.
- Experience with CI/CD tools (e.g., GitHub Actions, Azure DevOps.
- Knowledge of Docker and Kubernetes for container orchestration.
- Exposure to GraphQL and its ecosystem.
- Background in Data Science or Machine Learning is advantageous.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
IT Services and IT Consulting and IT System Custom Software Development
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