Full Stack Developer

2 weeks ago

Greater Bengaluru Area, India YourfriendlyHR Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Location:

Bengaluru, India (On-site)

Experience:

2–3 years

We are seeking a talented and versatile Full Stack Developer to join our Generative AI team. In this role, you will work at the intersection of AI innovation and modern web development, building intelligent, scalable applications that leverage cutting-edge AI models and frameworks. You'll collaborate closely with AI engineers, product managers, and UX designers to bring GenAI-powered products from concept to production.

Responsibilities

  • Design, develop, and maintain full-stack web applications integrating Generative AI models (e.g., OpenAI, Hugging Face, Azure OpenAI, etc.)
  • Build robust APIs and backend systems to support AI workflows (prompt chaining, orchestration, embeddings, etc.)
  • Develop modern front-end interfaces using frameworks like React, , or Angular Work closely with AI and ML teams to embed LLMs, vector databases, and model APIs into production-grade systems
  • Ensure applications are secure, scalable, and performant Contribute to prompt engineering, agent orchestration logic, and AI user interaction design
  • Collaborate with cross-functional teams in agile sprints
  • Write unit and integration tests to ensure code quality Participate in code reviews, design sessions, and architectural discussions

Requirements

  • 3+ years of experience in full stack development , Python, or .NET backend preferred)
  • Strong experience with front-end frameworks: React, , or Angular Solid understanding of RESTful APIs, GraphQL, and backend design principles
  • Familiarity with LLMs, transformers, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, FAISS)
  • Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes)
  • Ability to work with both SQL and NoSQL databases Exposure to AI/ML libraries like OpenAI API, LangChain, Hugging Face, or Azure OpenAI Excellent problem-solving, collaboration, and communication skills

Good to Have

  • Experience with LLMOps and AI application lifecycle management
  • Hands-on experience with agent-based AI frameworks (e.g., AutoGPT, LangGraph)
  • Experience integrating authentication, logging, monitoring, and analytics tools
  • Knowledge of CI/CD pipelines, GitHub Actions, or Azure DevOps

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