Senior Python Engineer (AI)

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 production or near-production environments.
• Experience working with LLM APIs and AI platforms, such as OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, or similar.
• Experience designing AI agent workflows, tool-calling flows, prompt-driven automation, or multi-step AI orchestration.
• Understanding of AI engineering concepts such as prompt design, retrieval-augmented generation, embeddings, vector databases, structured outputs, evaluation, and guardrails.
• Ability to integrate AI capabilities into existing services, internal tools, and automation workflows.
• Strong experience with API integrations, including authentication, OAuth2, webhooks, error handling, retries, rate limits, and secure data exchange.
• Solid understanding of SQL and relational databases such as PostgreSQL or MySQL.
• Experience troubleshooting API integrations, data synchronization issues, automation failures, and production defects.
• Basic proficiency in HTML, CSS, and JavaScript to support lightweight frontend interfaces or internal admin dashboards.
• Experience with Docker and Kubernetes.
• Familiarity with GitLab CI/CD or similar CI/CD pipelines.
• Understanding of secure coding practices, secrets management, access control, and secure data handling.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication skills and ability to work with both technical and non-technical stakeholders.

Preferred

• Experience working with AWS services.
• Experience with Kubernetes deployments and management.
• Experience integrating with enterprise tools (Jira API, Okta API, Slack API).
• Familiarity with infrastructure as code and DevOps practices.
• Exposure to logging and monitoring stacks (ELK, Prometheus, Grafana).
• Understanding of secure coding practices and compliance requirements in fintech or regulated environments.
• General understanding of the math and algorithms behind AI and related technologies

Nice to Have

• Experience designing human-in-the-loop AI workflows with approvals, escalation paths, and audit trails.
• Experience building chat-based internal assistants or AI copilots connected to company data and systems.
• Experience with financial data processing, reconciliation, reporting automation, or transaction monitoring.
• Understanding of risk, compliance, and operational controls in financial environments.

What you will get in return

• Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
• Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
• Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance.
• Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
• Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
• Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
• Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
• Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.