Senior Backend Engineer

We’re looking for a Senior Python Backend Engineer to join our AI Agent Team, responsible for building large-scale, intelligent systems that operate autonomously across enterprise environments.

This role blends deep backend engineering expertise with hands-on development of LLM-powered and retrieval-based architectures. You’ll take ownership of designing and developing production systems that integrate Large Language Models, embeddings, and multi-agent workflows, ensuring scalability, observability, and reliability in complex cloud environments.

Responsibilities

• Design and build scalable backend services that power GenAI and agentic applications.
• Develop retrieval and embedding pipelines for production use, integrating vector databases and LLMs.
• Implement secure, observable, and performant microservices within a Kubernetes-based ecosystem.
• Collaborate closely with AI research and data science teams to operationalize LLM and multi-agent capabilities.
• Optimize system reliability, scalability, and cost-efficiency across distributed workloads.
• Maintain high code quality, robust testing, and CI/CD best practices.

Required Skills & Experience

• 5+ years of backend development experience in production-grade environments.
• Strong proficiency in Python and deep understanding of computer science fundamentals (data structures, algorithms, concurrency).
• Proven experience in cloud-native and distributed system design.
• Hands-on experience with Kubernetes, Docker, and CI/CD pipelines.
• Familiarity with LLM frameworks such as LangChain, LangGraph, or similar tools.
• Experience working with vector databases (e.g., Pinecone, Qdrant, Milvus, pgvector, Redis) – an advantage.
• Practical understanding of LLM integration (OpenAI, Anthropic, Gemini, or open-source models).
• Strong communication, proactive ownership, and ability to thrive in a fast-paced, research-driven environment.