Full Stack Developer (Backend-Focused)

Actively Reviewing the Applications

YourfriendlyHR

1–2 years

Posted 3 days ago • Apply by June 11, 2026

Job Description

Location: Bengaluru
Work Schedule: Monday to Friday
Work Mode: On-site
Experience: 1–4 Years

Role Overview

We are looking for a skilled Back-End Developer to join our Generative AI team and help build scalable, intelligent systems powered by modern AI models. In this role, you will focus on designing and developing robust backend services and APIs that enable GenAI-driven applications to move seamlessly from concept to production. You will collaborate closely with AI engineers, product managers, and front-end teams to deliver reliable, secure, and high-performance solutions.

Key Responsibilities

Design, develop, and maintain backend services and APIs for Generative AI–powered applications
Build and manage scalable backend architectures supporting AI workflows such as prompt orchestration, embeddings, retrieval-augmented generation (RAG), and agent execution
Integrate Generative AI models and platforms (e.g., OpenAI, Azure OpenAI, Hugging Face) into production-grade systems
Work closely with AI/ML engineers to operationalize LLMs, vector databases, and inference pipelines
Ensure backend systems are secure, scalable, reliable, and optimized for performance
Design and manage data storage using SQL and NoSQL databases
Implement authentication, authorization, logging, monitoring, and error-handling mechanisms
Write clean, maintainable code along with unit and integration tests
Participate in code reviews, architectural discussions, and agile sprint planning
Support deployment, monitoring, and maintenance of backend services in cloud environments

Requirements

1+ years of experience in backend development using Node.js, Python, or .NET
Strong understanding of RESTful APIs, backend system design, and microservices architecture
Experience working with Generative AI models, LLM APIs, or AI-powered workflows
Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding-based search
Experience with cloud platforms such as Azure, AWS, or GCP
Hands-on experience with Docker and basic understanding of container orchestration (Kubernetes preferred)
Proficiency in working with SQL and NoSQL databases
Exposure to AI/ML tools or libraries such as OpenAI APIs, LangChain, Hugging Face, or Azure OpenAI
Strong problem-solving skills with the ability to collaborate effectively across teams
Good communication skills and a product-focused mindset

Good to Have

Experience with LLMOps and AI application lifecycle management
Hands-on experience with agent-based frameworks (e.g., AutoGPT, LangGraph)
Knowledge of CI/CD pipelines, GitHub Actions, or Azure DevOps
Experience implementing observability tools for logging, monitoring, and analytics
Understanding of scalable backend patterns for AI-heavy workloads

Skills: nextjs,orchestration,models,typescript,angular,azure,design,nestjs,genai,ml,code,databases,stack,prompt,nodejs,reactjs