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3 дня назад

Full-Stack Software Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Full-Stack Software Engineer (AI): Enhancing banking applications with generative AI capabilities, integrating LLMs via Amazon Bedrock or Snowflake Cortex, and building RAG features and streaming AI responses into React UIs. Focus on designing and maintaining Python backend services with FastAPI, building scalable React.js frontends, and ensuring secure containerized deployments.

Location: Bengaluru

Company

hirify.global is a global technology consultancy partnering with a British bank to develop and upgrade banking applications.

What you will do

  • Design, develop, and maintain Python backend services using FastAPI.
  • Integrate large language models (LLMs) into applications for AI-driven features.
  • Build scalable React.js frontends with functional components, hooks, and performance optimizations.
  • Implement retrieval-augmented generation (RAG) patterns and streaming AI responses.
  • Manage containerized deployments using Docker and orchestration tools like Kubernetes and Helm.
  • Apply secure development best practices including OWASP guidelines, JWT/OIDC authentication, rate limiting, and input validation.

Requirements

  • 4–9 years of professional development experience.
  • Expert-level Python (FastAPI essential; Django/Flask experience welcomed).
  • Strong modern JavaScript/TypeScript and deep React.js expertise (functional components, hooks, context, custom hooks, performance optimisation).
  • Experience building and consuming REST/GraphQL APIs and real-time features.
  • Solid understanding of testing: PyTest, Playwright/Cypress, React Testing Library.
  • Containerisation & orchestration: Docker, Kubernetes, Helm.
  • Secure development practices (OWASP, JWT/OIDC, rate limiting, input validation).

Nice to have

  • Hands-on experience integrating LLMs into web applications (Amazon Bedrock, Snowflake Cortex, LangChain/LlamaIndex in Python).
  • Building RAG-based features (vector stores, semantic search, streaming responses in React).
  • Previous work on AI-powered chat/assistant interfaces or document intelligence.
  • AWS services: Lambda, API Gateway, Step Functions, EventBridge.
  • Event-driven architecture and Kafka.
  • Financial services or regulated environment experience.

Culture & Benefits

  • Vacation and sick pay as per the laws of your country.
  • Assistance with health insurance for you and your loved ones.
  • Time off for state holidays, regardless of the client’s schedule.
  • Enjoy a pleasant environment with corporate parties and small get-togethers.
  • Benefit from comfort service for technical and everyday problems at work.
  • Opportunity to grow your career, cover IT certifications, and access top-tier courses and learning platforms.

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