Senior Python Full Stack Developer
About The Position
Bridgenext is seeking a Senior Python Full Stack Engineer to design and deliver an AI enabled automation platform within a cloud native Azure ecosystem. The role requires strong hands on expertise in Python based backend development using FastAPI, modern front end frameworks, and applied Large Language Model (LLM) capabilities to build scalable, secure, and intelligent internal applications. The Senior Developer will be responsible for owning end to end development of a prompt driven UI and backend services that automate data ingestion workflows, generate scripts using LLMs, and integrate with enterprise platforms such as Azure Data Factory, Databricks, GitHub, MongoDB, and Azure OpenAI. The solution is expected to run on Azure Kubernetes Service (AKS) with built in authentication, authorization, and scalability. This role goes beyond traditional full stack development and focuses on delivering a tangible AI powered product outcome, automating repetitive ingestion workloads while showcasing enterprise ready AI capabilities within an existing Azure centric framework.
Requirements
- 8+ years of professional full-stack software development experience
- Proficiency in modern front-end frameworks such as React, Angular, or JavaScript
- Strong experience building RESTful APIs using FastAPI
- Expertise in SQL databases (PostgreSQL, MySQL, SQL Server)
- Experience with NoSQL databases such as MongoDB, DynamoDB, or Redis
- Hands-on experience deploying containerized applications on AKS
- Experience building LLM-powered solutions including chat, summarization, and RAG
- Experience integrating with Azure OpenAI
- Strong proficiency in Python programming
Nice To Haves
- Good understanding of Agentic AI frameworks such as LangChain or AutoGen
- Exposure to Agent-to-Agent (A2A) communication and agent scaling
- Azure experience including Data Factory, Entra ID fundamentals, app registrations
- Knowledge of OAuth2, OIDC, SSO, and SAML configurations
Responsibilities
- Design, develop, and maintain end-to-end full-stack applications
- Build and maintain RESTful APIs using FastAPI with authentication, rate limiting, pagination, and error handling
- Develop scalable backend services using Python
- Implement modern front-end applications using React, Angular, or JavaScript
- Design and optimize SQL and NoSQL databases
- Deploy and operate containerized applications on Azure Kubernetes Service (AKS)
- Build LLM-powered features including chat, summarization, RAG, agents, and evaluators
- Integrate applications with Azure OpenAI and other external AI providers
- Collaborate with cross-functional teams and participate in code reviewsTroubleshoot production issues and continuously improve system reliability
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
