Senior Backend Engineer

The ideal candidate has around 8-10 years of software engineering experience and strong hands-on experience with Python, backend APIs, workflow orchestration, distributed systems, and production-grade engineering. Experience with FastAPI, Node.js / TypeScript, Redis, LangGraph, Temporal, or similar technologies is highly valuable. This is a hands-on engineering role. We are looking for someone who can design, build, integrate, debug, and scale production systems, not just experiment with prompts or prototypes.

Requirements:

• 8-10 years of hands-on software engineering experience.
• Strong experience with Python and backend service development.
• Experience building REST APIs using FastAPI, Flask, Django, Express, NestJS, or similar frameworks.
• Experience with Node.js / TypeScript, or willingness to work across both Python and Node.js services.
• Experience designing and building production-grade backend systems.
• Experience with workflow orchestration, state machines, event-driven systems, or distributed process coordination.
• Experience integrating with internal or external APIs and enterprise systems.
• Understanding of caching, session state, queues, and distributed system patterns using Redis or similar technologies.
• Familiarity with conversational AI, LLM-based applications, virtual assistants, chatbots, or AI-powered automation.
• Strong engineering fundamentals around testing, logging, monitoring, security, CI/CD, reliability, and maintainability.

Preferred Qualifications:

• Experience with LangGraph or similar graph-based orchestration frameworks.
• Experience with Temporal or similar durable workflow engines.
• Experience building agentic AI systems, including routing, tool use, memory, planning, and context management.
• Experience with LangChain, AutoGen, Semantic Kernel, CrewAI, or similar AI/agent frameworks.
• Experience with RAG, vector search, embeddings, knowledge retrieval, and retrieval evaluation.
• Experience with memory and context engineering for AI applications.
• Experience with MCP, tool registries, function calling, plugin-based integrations, or API adapter patterns.
• Experience with observability tools such as OpenTelemetry, LangSmith, Arize Phoenix, Opik, or similar platforms.
• Experience with customer service, contact centers, retail, CRM, order management, returns, payments, or post-purchase support domains.
• Exposure to omnichannel customer experience patterns across chat, voice, email, messaging, and human handoff.