Senior Python Developer (L6)

As a Senior Python Developer (L6), you will play a key role in designing and building scalable backend platforms while driving the adoption of Generative AI, LLMs, and agentic workflows across engineering solutions. This is a hands-on senior engineering role requiring strong expertise in Python, backend architecture, distributed systems, API design, and cloud-native engineering, combined with practical experience integrating modern AI capabilities into production systems. You will work closely with Product, Data, AI/ML, and DevOps teams to translate complex business requirements into reliable, scalable, and observable engineering solutions.

Responsibilities:

• Architect and develop secure, scalable, and highly available backend systems using Python.
• Drive HLD/LLD, system design, API architecture, modularity, fault tolerance, and scalability across backend services.
• Design and build REST APIs and microservices using Python frameworks such as FastAPI.
• Integrate LLMs and Generative AI capabilities into production applications and backend workflows.
• Build reliable AI-powered systems with appropriate mechanisms to reduce hallucinations, improve reliability, and ensure predictable outputs.
• Design and implement agentic workflows and AI-driven automation for business and engineering use cases.
• Work hands-on with the OpenAI developer ecosystem, including APIs such as Completions, Responses, and Files, along with tools/SDKs such as Agents SDK and Web Search.
• Implement and improve AI agent debugging, tracing, evaluation, and monitoring using platforms such as Phoenix, LangSmith, or similar tools.
• Design and optimise integrations with PostgreSQL and other data stores supporting real-time and batch workloads.
• Build and integrate data pipelines and ETL workflows, including movement of data between cloud platforms such as GCP and PostgreSQL.
• Drive performance optimisation, reliability, observability, logging, monitoring, and alerting across backend services.
• Establish engineering standards around code quality, testing, code reviews, and maintainability.
• Develop comprehensive unit, integration, and functional test suites for high-reliability systems.
• Build and maintain CI/CD pipelines supporting automated testing, deployments, rollback, and production health.
• Partner with Product, Data, Business, AI/ML, and DevOps teams to deliver scalable solutions.
• Mentor engineers, conduct technical reviews, and contribute to a culture of engineering excellence and continuous improvement.
• Stay current with emerging GenAI, LLM, agentic AI, and developer productivity technologies and identify opportunities to apply them effectively.

Requirements:

• 8-12 years of professional software development experience, with strong hands-on experience in Python.
• Expert-level proficiency in Python and strong experience with backend frameworks such as FastAPI.
• Proven experience designing and building large-scale backend systems, REST APIs, and microservices.
• Strong understanding of system design, distributed systems, scalability, fault tolerance, and performance optimisation.
• Hands-on experience with LLMs, Generative AI, AI integrations, and agentic workflows in production or real-world applications.
• Practical experience with the OpenAI developer ecosystem, including APIs, SDKs, and AI tooling.
• Experience with AI observability/debugging platforms such as Phoenix, LangSmith, or equivalent.
• Strong experience working with PostgreSQL and other relational/non-relational databases.
• Experience with data pipelines, ETL processes, and batch/real-time data workflows.
• Strong understanding of automated testing, code quality, observability, logging, monitoring, and alerting.
• Hands-on experience building and maintaining CI/CD pipelines.
• Experience working with cloud platforms, preferably GCP, and cloud-native architectures.
• Strong understanding of API security, authentication, authorisation, and backend security best practices.
• Strong problem-solving and analytical skills with the ability to make sound technical decisions.
• Excellent communication and stakeholder management skills.
• Ability to mentor engineers and influence technical decisions across teams.