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September 14, 2026

Python Developer

Senior

Quick Facts

  • Contract: 12+ months (potential conversion)

Description

Seeking a Senior Python Engineer to design, develop, and support scalable, secure enterprise applications and platforms using Python, microservices, APIs, event-driven architectures, and emerging AI technologies. The role focuses on agentic AI, MCP integrations, AI/LLM-enabled applications, and distributed systems, working closely with architecture, data, infrastructure, and business teams.

Responsibilities

  • Design, develop, test, and support Python-based applications, services, and platforms
  • Build and maintain REST APIs, microservices, and event-driven/asynchronous services
  • Develop agentic AI workflows, AI orchestration solutions, MCP integrations, and LLM-enabled applications
  • Integrate AI services with enterprise applications, data platforms, and business systems
  • Implement scalable, resilient, secure, and reusable solutions following enterprise architecture standards
  • Work with Kafka, MQ, or similar messaging/streaming technologies
  • Implement CI/CD, automated testing, DevOps/DevSecOps, monitoring, logging, observability, and operational controls
  • Support cloud-native platforms, containers, and distributed application environments
  • Ensure appropriate security, governance, risk, auditability, and compliance for enterprise and AI-enabled solutions

Requirements

  • Strong hands-on experience with Python, FastAPI/Flask, REST APIs, and microservices
  • Experience with distributed, event-driven, and asynchronous architectures
  • Strong SQL and relational database experience
  • Experience with CI/CD, automated testing, Git/source control, Linux, containers, and cloud-native environments

Preferred Qualifications

  • Experience with agentic AI, GenAI, LLMs, MCP, AI orchestration, RAG, or prompt engineering
  • Experience with Kafka/MQ, PySpark, Databricks, Kubernetes/OpenShift, Docker, or cloud platforms
  • Knowledge of data engineering, ELT/ETL, data modeling, data warehousing, Data Mesh, or data federation
  • Experience with AI governance, model risk, observability, security, and auditability
  • Banking, financial services, risk management, or capital markets experience preferred

Benefits

  • 12+ months contract (potential conversion)

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