Senior Python Engineer (AI-Powered Financial Assistant)

EPAM·Argentina, Colombia, Mexico, Brazil·Удалённо·вчера

We are seeking a Senior Python Engineer to build a next-generation AI-powered financial assistant platform that brings chat, reporting, and tailored interfaces into investment workflows. You will work in a small, highly competent team with high autonomy to design and deliver production-grade AI features end-to-end.

Responsibilities

  • Design end-to-end AI-assisted product features from discovery through production release
  • Build Python services and APIs using FastAPI to power chat, reporting, and bespoke interfaces
  • Define system designs that address scale, reliability, security, and maintainability requirements
  • Partner with sophisticated client stakeholders to gather requirements and validate solutions
  • Develop evaluation frameworks for LLM quality, including test datasets and automated regressions
  • Implement monitoring and failure analysis workflows to detect and diagnose AI behavior in production
  • Harden AI applications with security controls against privacy risks and prompt-injection attacks
  • Optimize AI solutions for quality, latency, reliability, and cost in real-world usage
  • Review, test, and validate AI-generated code from coding agents and AI-assisted tools
  • Ship iterative improvements quickly based on feedback while preserving a high quality bar

Requirements

  • 3+ years of professional software engineering experience with Python or similar languages
  • Strong hands-on experience with FastAPI or comparable Python web frameworks
  • Proven experience with forward deployed engineering in close partnership with clients
  • Demonstrated experience shipping LLM-based applications and Gen AI assisted development workflows
  • Experience with AI evaluation and quality engineering including automated evals and regression testing
  • Strong system design skills for scalable, reliable, secure services
  • High ownership and autonomy with ability to take loosely defined problems to production delivery
  • Strong product judgment with ability to gather requirements and identify edge cases
  • Strong quality mindset focused on reliability, maintainability, and observability
  • Strong security fundamentals for sensitive data including access control and privacy practices
  • Strong optimization skills across latency, reliability, cost, and model quality trade-offs
  • Strong collaboration and communication skills in low-formality startup-like environments
  • Advanced English proficiency (C1, Advanced)

Nice to have

  • Amazon Web Services experience
  • Kubernetes experience
  • Terraform experience
  • ReactJS experience
  • Next.js experience

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