AI & Backend Engineer

Job Summary: We are seeking an AI & Backend Engineer with at least 2 years of hands-on experience in developing and deploying production-grade Agentic AI systems. The ideal candidate will have experience building intelligent voice agents, designing robust prompt workflows, integrating external tools and enterprise systems, and developing scalable backend services that support real-time AI applications.

Key Responsibilities :

• Design, develop, and deploy production-grade AI voice agents capable of handling complex, real-time customer interactions.
• Architect and implement Agentic AI workflows involving planning, reasoning, memory management, and autonomous tool execution.
• Design, evaluate, and optimize prompts to improve response quality, accuracy, and conversational performance.
• Integrate AI agents with external APIs, enterprise applications, databases, and third-party services.
• Develop scalable backend services and RESTful APIs using Python and FastAPI.
• Ensure AI systems meet production standards for reliability, scalability, security, and low-latency performance.
• Collaborate with cross-functional teams to deliver high-quality AI-powered products.
• Troubleshoot, optimize, and maintain production AI applications.

Required Qualifications:

• Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
• Minimum 2 years of professional experience building production-grade Agentic AI or LLM-based applications.
• Strong proficiency in *Python* and backend software development.
• Experience developing AI voice agents for production use cases.
• Strong understanding of prompt engineering and prompt optimization techniques.
• Experience designing Agentic AI systems with tool calling, function calling, memory management, and multi-step reasoning.
• Experience integrating AI agents with external APIs, tools, and enterprise systems.
• Experience developing RESTful APIs using *FastAPI*.
• Good understanding of software engineering principles, debugging, testing, and writing maintainable code.
• Familiarity with *AWS* services for deploying and managing backend applications.

Preferred Qualifications :

• Experience working with Large Language Models (LLMs) and modern AI application development.
• Familiarity with Retrieval-Augmented Generation (RAG) and vector databases.
• Experience deploying scalable AI applications in production environments.
• Understanding of AI system monitoring, evaluation, and performance optimization.
• Excellent problem-solving skills and the ability to work in a fast-paced startup environment.

Technical Skills: Python, FastAPI, PostgreSQL/MySQL, Redis, AWS (EC2, ECS, S3), OpenAI/Gemini/Anthropic APIs, LangGraph, LangChain, Prompt Engineering, Agentic AI, MCP (Model Context Protocol), RAG, Vector Databases (Pinecone, Qdrant, ChromaDB), Plivo/Ozonetel, WebSockets, AsyncIO, Git, Pydantic, REST APIs, Webhooks ‎