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Senior Full Stack Developer – AI/LLM & AI Agents

Whitelotus Corporation Pvt LtdRemote5d ago
RemoteFull-timevia indeed

Required Skills

apiazureci/cddockerexpressfastapigitjavascriptlinuxllmmicroservicesmongodbmysqlnestjsnext.jsnode.jspostgresqlpythonreactredisresttypescript

Job Description

We are looking for an experienced Full Stack Developer with strong expertise in frontend, backend, AI/LLM integration, and AI Agent development. The ideal candidate should be capable of independently handling end\-to\-end development, deployment, security, and maintenance of scalable AI\-powered solutions.

Key Responsibilities

  • Develop and maintain frontend and backend systems.
  • Design and integrate REST APIs, databases, and third\-party services.
  • Design, develop, and integrate AI Agents and LLM\-powered solutions.
  • Implement RAG pipelines, vector databases, embeddings, and semantic search.
  • Build AI workflows with tool calling and external API integrations.
  • Handle application deployment, monitoring, and production maintenance.
  • Implement secure coding practices, authentication, and API security.
  • Optimize performance, scalability, and reliability.

Required Skills

  • **Frontend:** React.js, Next.js, JavaScript, TypeScript.
  • **Backend:** Node.js, Express.js / NestJS.
  • **Databases:** PostgreSQL, MySQL, MongoDB.
  • **AI/LLM:** OpenAI APIs or similar, RAG, Vector Databases, Embeddings, AI Agents, Prompt Engineering.
  • **AI Frameworks:** LangChain, LangGraph, LlamaIndex, or equivalent.
  • **Deployment:** Linux, Docker, CI/CD, cloud deployment.
  • **Security:** Authentication, authorization, API security, OWASP fundamentals.
  • **Tools:** Git, REST APIs, third\-party integrations.

Good to Have

  • Experience with Microsoft Azure deployment and Azure OpenAI.
  • Experience with vector databases such as Pinecone, Qdrant, Chroma, or pgvector.
  • Knowledge of multi\-agent systems and agent orchestration.
  • Experience with Python and FastAPI for AI integrations.
  • Familiarity with Redis, microservices, and cloud architecture.

Ideal Candidate

  • Can independently handle development through production deployment.
  • Has practical experience building AI Agents and RAG\-based solutions.
  • Understands security, scalability, and performance optimization.
  • Has strong debugging, problem\-solving, and ownership skills.
  • Can translate business requirements into production\-ready AI solutions.

Pay: From ₹1,000,000\.00 per year

Benefits

  • Leave encashment
  • Work from home

Work Location: Hybrid remote in Ahmedabad, Gujarat

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Job Overview

Job type
Full-time
Work mode
Remote
Location
Anywhere in India
Posted
5d ago
Source
Indeed