Company
Internal Development
SeniorPythonEngineer(AI)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Python Engineer (AI). Skills: Python, AI, API Integrations, Automation. Develop internal services. Maintain internal services”
Industry & Context.
Analytical; Debugging; Problem-solving
What They're Looking For.
Must Have
3–5+ years of professional experience as a Python Developer, Proficiency in Python 3. x, Asynchronous programming, REST API development, Experience building or integrating AI-powered solutions, Experience working with LLM APIs, Experience designing AI agent workflows, Experience with API integrations, Solid understanding of SQL, Experience troubleshooting API integrations, Basic proficiency in HTML, Basic proficiency in CSS, Basic proficiency in JavaScript, Experience with Docker, Experience with Kubernetes, Familiarity with GitLab CI/CD, Understanding of secure coding practices
Nice to Have
Experience working with AWS services, Experience with Kubernetes deployments, Experience with enterprise tools integrations, Familiarity with infrastructure as code, Familiarity with DevOps practices, Exposure to logging and monitoring stacks, Understanding of secure coding practices and compliance requirements in fintech, General understanding of AI math and algorithms, Experience designing human-in-the-loop AI workflows, Experience building chat-based internal assistants, Experience with financial data processing, Experience with reconciliation, Experience with reporting automation, Experience with transaction monitoring
What You'll Do.
Develop internal services
Maintain internal services
Develop internal tools
Maintain internal tools
Develop automation scripts
Maintain automation scripts
Develop AI-enabled workflows
Maintain AI-enabled workflows
Design multi-step agent flows
Implement multi-step agent flows
Design automation pipelines
Implement automation pipelines
Build integrations with internal systems
Build integrations with third-party systems
Develop AI-powered features
Integrate LLMs into internal applications
Integrate AI services into internal applications
Create automation flows
Maintain automation flows
Resolve issues related to financial integrations
Resolve issues related to API failures
Resolve issues related to data inconsistencies
Resolve issues related to automation errors
Write well-documented code
Implement CI/CD pipelines
Implement automated testing frameworks
Optimize system performance
Ensure system reliability
Ensure system security
Contribute to architectural decisions
Participate in code reviews
Optimize performance of internal tools
Optimize reliability of internal tools
Optimize observability of internal tools
Optimize security of internal tools
Optimize performance of integrations
Optimize reliability of integrations
Optimize observability of integrations
Optimize security of integrations
Support architectural decisions
Contribute to engineering standards
Identify opportunities to improve manual processes
Improve processes through automation
Improve processes through AI
Improve processes through system integrations
How You'll Work.
Team & Collaboration
Technical stakeholders; Non-technical stakeholders
Communication Scope
Communication skills
Process & Methodology
Agile
Full Job Description
## Key Responsibilities Develop and maintain internal services, tools, APIs, automation scripts, and AI-enabled workflows. Design and implement AI agents, multi-step agent flows, and automation pipelines to support internal business processes. Build integrations with internal and third-party systems, including financial platforms, payment providers, reporting tools, Jira, Confluence, Okta, Slack, AWS, and other enterprise systems. Develop AI-powered features such as intelligent data processing, document analysis, classification, anomaly detection, workflow automation, and decision-support tools. Integrate LLMs and AI services into internal applications using APIs, orchestration frameworks, vector databases, and retrieval-augmented generation where appropriate. Create and maintain automation flows connecting AI agents, APIs, databases, notifications, and approval workflows, local and remote MCP servers. Investigate, troubleshoot, and resolve issues related to financial integrations, API failures, data inconsistencies, automation errors. Write clean, efficient, secure, and well-documented code following software engineering best practices. Implement CI/CD pipelines and automated testing frameworks. Optimize system performance and ensure reliability and security. Contribute to architectural decisions and participate in code reviews. Optimize performance, reliability, observability, and security of internal tools and integrations. Support architectural decisions, participate in code reviews, and contribute to engineering standards. Continuously identify opportunities to improve manual processes through automation, AI, and better system integrations. ## Requirements 3–5+ years of professional experience as a Python Developer, AI Engineer Strong proficiency in Python 3.x, including asynchronous programming, REST API development Experience with frameworks such as FastAPI, FastMCP, Flask, or Django. Practical experience building or integrating AI-powered solutions in produc
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