We are seeking a Python developer with strong hands-on Python experience to take ownership of enterprise-grade application and automation solutions in an Azurefirst environment, including the safe, reliable integration of AI / GenAI / LLM capabilities into production systems.

This is a senior, hands-on technical role. The successful candidate will be a technocrat - someone who Designs, codes, and delivers - with the ability to communicate confidently with business stakeholders and ensure solutions are productionready, secure, and enterprisesafe.

Responsibilities

HandsOn Python Development (Core Expectation)

• Be actively hands-on in Python, contributing directly to core application code, integrations, and critical logic.
• Design, build, and maintain Python scripts and services for:
• Data extraction, validation, transformation, reconciliation, and reporting.
• Automation workflows and backend services.
• Build and manage ETL pipelines using Pandas (and PySpark where applicable); schedule, monitor, and optimize jobs for reliability and performance.
• Design and implement clean, maintainable Python services, including:
• REST and async APIs integrating with internal and external systems.
• Background workers, schedulers, and ingestion pipelines.
• Write production-quality Python code, with focus on:
• Correctness, readability, and maintainability.
• Strong automated test coverage (unit, integration, contract).
• Robust error handling, logging, and observability.
• Perform Excel and PDF document processing (creation, editing, updating) using Python to support accurate data preparation, validation, and reporting.

AI / GenAI / LLM Integration (Enterprise-Safe Use)

• Design and implement Python-based integration layers for AI / GenAI / LLM systems.
• Ensure AI outputs are never blindly trusted, by enforcing:
• Strict schema and contract validation.
• Deterministic post-processing logic.
• Confidence and consistency checks.
• Explicit fallbacks and failure paths.
• Manage execution state, retries, and intermediate results across multistep AIassisted workflows to support resumability and failure recovery.
• Clearly distinguish experimental AI capabilities from productioncritical automation and application logic.
• Contribute to real, production use cases for AI and automationnot just proofs of concept.

Engineering Quality & Ownership

• Act as a technical owner, accountable for code quality, stability, and behaviour in production.
• Review Python code written by others, providing precise, technically accurate feedback.
• Write automated tests using pytest, participate in code reviews, and maintain technical documentation and SOPs.
• Diagnose and resolve complex production issues, including those involving external systems or AI components.

Collaboration & Stakeholder Communication

• Communicate clearly, confidently, and directly with business users and nontechnical stakeholders.
• Explain technical tradeoffs, risks, and constraints in a way that enables informed decisionmaking.
• Work closely with product, operations, and business teams to ensure solutions meet real operational needs.

Required Skills & Experience (Mandatory)

• 912 years of professional software development experience.
• 1–3 years of real AI/GenAI/LLM production exposure.
• Strong, demonstrable hands-on Python development experience in production systems.
• Experience working on real-world, enterprise production use cases (not limited to POCs).
• Strong exposure to AI / ML / GenAI integration in applications or automation workflows.
• Experience working in an Azure-first environment (Azure Functions, , App Services, Storage, Key Vault, and Azure AI services, etc.).
• Deep understanding of Python fundamentals, including:
• Data structures and memory behaviour.
• Exception handling and failure patterns.
• Concurrency models (threads, async, multiprocessing).
• Dependency and environment management.
• Strong proficiency in Pandas, NumPy, REST APIs, and SQL.
• Experience with Git, Docker, and CI/CD pipelines.
• Strong analytical thinking, problem-solving ability, and communication skills.

Nice to Have

• Experience with Databricks and/or OCR-based document processing.
• Exposure to PySpark, Kafka, or RabbitMQ.