Description

• Build responsive, modern web interfaces and dashboards using React, Next.js, Express, TypeScript, and modern CSS frameworks such as Tailwind CSS.
• Design Clientive user experiences for interacting with, monitoring, and managing AI agents.
• Develop scalable backend services and APIs using Python, Node.js, or Go.
• Manage and optimize SQL, NoSQL, and Vector databases to support AI-powered applications and data-intensive workloads.
• Design and implement robust middleware solutions to orchestrate complex multi-agent workflows.
• Build API gateways supporting routing, validation, authentication, authorization, and rate-limiting capabilities.
• Integrate AI agents with external tools, third-party platforms, and enterprise business systems through REST and GraphQL APIs.
• Implement and maintain AI agent frameworks using technologies such as LangChain, LangGraph, AutoGen, and CrewAI.
• Design short-term and long-term memory architectures for agentic systems.
• Implement tool-calling capabilities, reasoning workflows, and ReAct loops for intelligent decision-making and execution.
• Develop and maintain CI/CD pipelines and DevOps/MLOps processes for deployment, monitoring, and lifecycle management.
• Establish observability frameworks, including logging, tracing, monitoring, and performance analytics for AI agents and distributed systems.
• Improve platform reliability, scalability, and production readiness through proactive monitoring and automation.
• Support backend platform engineering, APIs, microservices, and distributed system architectures.
• Collaborate closely with AI Engineers, Data Scientists, Product Managers, and UI/UX Designers to deliver end-to-end product capabilities.
• Troubleshoot and optimize application, infrastructure, and AI platform performance across complex environments

Skill Requirements

• 5+ years of software engineering experience building scalable full-stack applications and platforms.
• Strong proficiency in modern JavaScript (ES6+), TypeScript, React.js, and state management frameworks.
• Strong experience with Python, Node.js, Go, or similar backend technologies.
• Deep understanding of REST APIs, GraphQL APIs, distributed systems, concurrency, and scalable architectures.
• Experience with PostgreSQL, MongoDB, and other relational or NoSQL databases.
• Familiarity with Vector Databases such as Pinecone, FAISS, or similar technologies.
• Hands-on experience building and deploying LLM-based applications, including Retrieval-Augmented Generation (RAG), prompt engineering, and tool integrations.
• Practical experience with Agentic AI frameworks including LangChain, LangGraph, AutoGen, CrewAI, or related platforms.
• Experience working with cloud platforms such as AWS, GCP, or Microsoft Azure.
• Knowledge of containerization and orchestration technologies including Docker and Kubernetes.
• Strong critical thinking, debugging, analytical, and problem-solving skills.
• Ability to troubleshoot complex systems spanning frontend, backend, AI, infrastructure, and integration layers

Key Skills

Education

Bachelor’s degree