What you need: • 9–12+ years of experience in Python backend development, with strong hands-on expertise in building scalable applications. • Strong experience with Kafka, Microservices, REST APIs, FastAPI, and distributed systems. • Hands-on experience integrating LLMs/GenAI into production applications, including agentic workflows and AI-driven automation. • Strong understanding of system design, automated testing, observability, and CI/CD. • Experience with databases such as PostgreSQL and data pipelines/ETL frameworks such as Airflow; cloud experience is a plus. What you would do: • Design and build secure, scalable backend systems and APIs using Python, with a focus on performance, reliability, and fault tolerance. • Integrate LLMs and GenAI capabilities into core applications, building reliable workflows that address hallucinations and improve AI outcomes. • Build and optimise event-driven and distributed systems using Kafka, microservices, databases, and data pipelines. • Drive engineering excellence through testing, code reviews, observability, CI/CD, and deployment best practices. • Lead technical design and mentor engineers while collaborating with Product, Data, Business, and DevOps teams to deliver high-impact solutions.
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