Sr Software Engineer - Agentic Applications (Full Stack)

About the Role

We are looking for a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications that leverage Large Language Models (LLMs). This role requires a strong focus on end-to-end agent development, including building a high-performance React frontend, designing the agentic logic in Python, integrating with backend services, and ensuring production readiness.

Key

Responsibilities

• Design, develop, and deploy AI agents for business-critical workflows, with a focus on LLM orchestration and tooling.
• Implement complex agentic behaviours using frameworks like LangChain or LangGraph, including ReAct loops for reasoning and action.
• Design and develop a high-performance React application for the agent's user interface.
• Collaborate with backend teams to integrate APIs and services, and build tools for agents.
• Work with middleware (Python/Node.js) to orchestrate agent calls and data flow.
• Implement comprehensive observability and tracing for agent runs and system performance.
• Build reusable, scalable UI components.
• Optimise application performance, responsiveness, and scalability.
• Participate in architectural discussions and contribute to solution design.
• Write clean, maintainable, and testable code with proper documentation.

Required Skills & Experience

• 5+ years of experience in full-stack development, with strong expertise in Python and React.js .
• Proven experience in designing, building, and deploying at least 1 production-deployed AI agent or LLM application .
• Deep expertise in LLM orchestration, prompt engineering, and utilizing tools/plugins to extend agent capabilities.
• Experience with agent frameworks like LangChain or LangGraph , including implementing reasoning patterns like the ReAct loop .
• Experience with observability, logging, and tracing for AI agents.
• Experience building large-scale, enterprise-grade applications.
• Strong experience with API integration (REST/GraphQL).
• Experience working in Agile/Scrum environments.
• Strong problem-solving and system design skills
• Ability to work across frontend and backend integration layers
• Ownership mindset with attention to detail
• Good communication and collaboration skills

Preferred / Good to Have

• Experience with Node.js or Python for middleware development
• Understanding of Salesforce APIs (REST, Apex, RLM/CPQ)
• Experience with event-driven architectures (webhooks, CDC, async processing)
• Knowledge of CI/CD pipelines and DevOps practices
• Experience with Databricks platform and Mosaic AI