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Backend Heavy AI Engineer

10 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Remote

Job Type

Contractual

Job Description

Job Title: Backend Heavy AI Engineer

Experience: 10+ Years

Location: Remote

Contract Duration: Short Term

Work Time: IST Shift



We are seeking a highly experienced Backend Heavy AI Engineer with deep expertise in Node.js, Go, and Python. The ideal candidate should have proven experience in building and integrating AI-powered backend solutions, developing AI chatbots, and working with modern backend technologies, microservices architecture, and cloud platforms.


Responsibilities


  • Design and develop scalable backend systems for AI-powered applications
  • Build and integrate AI chatbot frameworks and APIs into backend services
  • Implement microservices with efficient communication protocols
  • Optimize backend services for performance and scalability
  • Set up and manage CI/CD pipelines and containerized deployments
  • Collaborate with AI/ML teams to integrate LLMs and AI models into backend workflows
  • Manage database interactions, caching, and real-time data pipelines
  • Work closely with DevOps teams to ensure smooth deployment and monitoring


Skills & Requirements


  • Proficiency in Node.js + TypeScript, Go, and Python
  • Hands-on experience with backend frameworks like Django, FastAPI, and Flask
  • Worked on AI chatbot development and backend AI solution integration
  • Experience with Langchain, CrewAI, Agentic Framework, Chainlit
  • Strong background in microservices architecture
  • Skilled in Docker and Kubernetes deployment
  • Experience in CI/CD pipeline setup and automation
  • Understanding of streaming protocols with Elastic Search and caching strategies
  • Experience with WebSocket, messaging protocols, and gRPC
  • Integration experience with OpenAI and other LLMs
  • Hands-on with MLOps processes and tools
  • Experience working on cloud platforms (AWS, Azure, or GCP)
  • Familiarity with relational and NoSQL databases like PostgreSQL, MySQL, MSSQL, MongoDB

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