Full Stack Engineer

2 weeks ago

Hyderabad, Telangana, India Numerize AI Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Position Overview

We are seeking a Full Stack AI Engineer with deep expertise in building intelligent AI agents and conversational systems. The ideal candidate will have hands-on experience with agent frameworks like LangChain and LangGraph, combined with strong full-stack development skills to create end-to-end AI-powered applications.

Key Responsibilities

AI Agent Development

  • Design, develop, and deploy sophisticated AI agents using LangChain, LangGraph, and related frameworks
  • Build multi-agent systems with complex workflows, tool integration, and decision-making capabilities
  • Implement retrieval-augmented generation (RAG) systems and knowledge bases
  • Create conversational AI interfaces with memory, context management, and multi-turn interactions
  • Integrate various LLMs (OpenAI, Anthropic, open-source models) into agent architectures

Full Stack Development

  • Develop responsive web applications with modern frontend frameworks (React, , or Angular)
  • Build robust backend APIs and microservices using Python (FastAPI, Django) or
  • Design and implement databases (SQL/NoSQL) for storing conversation history, user data, and agent knowledge
  • Create real-time communication systems using WebSockets or Server-Sent Events
  • Deploy and maintain applications on cloud platforms (AWS, GCP, Azure)

System Integration & Optimization

  • Integrate AI agents with external APIs, databases, and third-party services
  • Implement caching strategies and performance optimizations for AI workflows
  • Build monitoring and logging systems for agent performance and user interactions
  • Ensure scalability, security, and reliability of AI-powered applications

Required Qualifications

Technical Skills

  • AI/ML Frameworks
    : Proficiency in LangChain, LangGraph, and agent orchestration patterns
  • Programming
    : Strong Python skills, plus JavaScript/TypeScript for frontend development
  • LLM Integration
    : Experience with OpenAI API, Anthropic Claude, or open-source models
  • Backend
    : FastAPI, Django, Flask, or
  • Frontend
    : React, , Angular, or similar modern frameworks
  • Databases
    : PostgreSQL, MongoDB, Vector databases (Pinecone, Weaviate, Chroma)
  • Cloud Platforms
    : AWS, GCP, or Azure with containerization (Docker, Kubernetes)

AI Agent Expertise

  • Experience building multi-step reasoning agents and tool-using systems
  • Knowledge of prompt engineering, chain-of-thought reasoning, and agent planning
  • Understanding of vector embeddings, semantic search, and RAG architectures
  • Familiarity with agent memory systems and conversation state management

General Requirements

  • 3+ years of full-stack development experience
  • 2+ years of hands-on AI/ML development experience
  • Strong understanding of RESTful APIs and microservices architecture
  • Experience with version control (Git) and CI/CD pipelines
  • Excellent problem-solving and debugging skills

Preferred Qualifications

  • Experience with additional agent frameworks (AutoGPT, CrewAI, Haystack)
  • Knowledge of fine-tuning and training custom models
  • Experience with streaming responses and real-time AI interactions
  • Familiarity with AI safety, content filtering, and responsible AI practices
  • Background in natural language processing or machine learning research
  • Experience with graph databases and knowledge graphs
  • Understanding of MLOps and AI model deployment pipelines

What You'll Build

  • Intelligent chatbots and virtual assistants with complex reasoning capabilities
  • Multi-agent systems that can collaborate and delegate tasks
  • RAG-powered knowledge systems with real-time information retrieval
  • AI-powered workflow automation and decision support tools
  • Conversational interfaces that integrate with business systems and databases

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