Job
Core
Design, develop, and maintain internal tools, APIs, AI-driven automation workflows, and system integrations to improve operational efficiency.
Role type
Senior Software Engineer – Python / AI Engineer
Builds
Internal services, AI agents, automation pipelines, and integrations with financial platforms and enterprise systems
Domain
Fintech / Internal Operations
Deliverable
production ML models | product features | infrastructure
Required skills
Python 3.x (async), REST API development, FastAPI/Flask/Django, LLM API integration, AI agent workflow design, vector databases, SQL/PostgreSQL, Docker, Kubernetes, CI/CD pipelines
Preferred skills
AWS services, Kubernetes deployments, Enterprise tool integrations (Jira/Okta/Slack), Infrastructure as Code, ELK/Prometheus/Grafana
Technologies
Python, FastAPI, FastMCP, Flask, Django, OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, PostgreSQL, MySQL, Docker, Kubernetes, GitLab CI/CD, AWS, Jira, Okta, Slack
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; Build integrations with internal and third-party systems; Develop AI-powered features such as intelligent data processing, document analysis, and anomaly detection; Integrate LLMs and AI services into internal applications; Create and maintain automation flows connecting AI agents, APIs, databases, and approval workflows; Investigate, troubleshoot, and resolve issues related to financial integrations and automation errors; Implement CI/CD pipelines and automated testing frameworks; Optimize performance, reliability, observability, and security of internal tools; Support architectural decisions and participate in code reviews; Continuously identify opportunities to improve manual processes through automation and AI
Seniority
Senior, hands-on IC
