Senior Software Engineer - Backend - Python - Agentic Platform

5+ years of Python software development experience. Strong experience with FastAPI (or Flask) for building scalable APIs. Experience with LLMs, NLP, and AI-driven applications. Experience integrating LLM APIs such as OpenAI, Anthropic, or vLLM. Proficiency in microservices architecture and distributed systems. Familiarity with frameworks such as TensorFlow and PyTorch and model optimization techniques. Experience with SQL and NoSQL databases such as Elasticsearch or PostgreSQL. Cloud experience with Azure, AWS, or GCP, along with CI/CD automation. Proficiency in containerization with Docker and orchestration using Kubernetes. Experience with event-driven architectures using RabbitMQ or similar message brokers.

Develop, optimize, and scale backend services using Python and FastAPI. Design and implement microservices for LLM-powered AI Agents, focusing on real-time processing, inference, and decision-making. Integrate LLM APIs (OpenAI, Anthropic, vLLM, etc.) to power AI-driven insights and automation. Enhance our Retrieval-Augmented Generation (RAG) pipeline, enabling AI Agents to retrieve, process, and synthesize knowledge. Implement messaging and event-driven workflows using RabbitMQ. Fine-tune and optimize LLMs using TensorFlow and PyTorch as the platform evolves. Deploy and manage AI workloads on Kubernetes, ensuring scalability and high availability. Collaborate with infrastructure and DevOps teams to streamline CI/CD pipelines and cloud-based deployments. Write well-structured, maintainable, and testable code following best practices. Mentor junior engineers and contribute to technical decision-making.