Python Software Developer - AI/ML

Description :

Job Title : Python Software Developer+ AIML +Azure/AWS

Job description :

We are seeking a Technical Lead 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 :

Hands On 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 :

1. Data extraction, validation, transformation, reconciliation, and reporting.

2. 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 :

1. REST and async APIs integrating with internal and external systems.

2. Background workers, schedulers, and ingestion pipelines.

- Write production-quality Python code, with focus on :

1. Correctness, readability, and maintainability.

2. Strong automated test coverage (unit, integration, contract).

3. 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 :

1. Strict schema and contract validation.

2. Deterministic post-processing logic.

3. Confidence and consistency checks.

4. 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) :

- 9 to 12 years of professional software development experience.

- 13 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 :

1. Data structures and memory behaviour.

2. Exception handling and failure patterns.

3, Concurrency models (threads, async, multiprocessing).

4. 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.