Senior Python Engineer (AI-Powered Financial Assistant)

EPAM Systems; Argentina; Remote; ARS 1,800,000 - 2,600,000; Full time

Job summary

EPAM Systems, Inc. seeks a Senior Python Engineer to build an AI-powered financial assistant platform with chat, reporting and bespoke interfaces. You will design and ship production-grade features end-to-end in a small, autonomous team.

You will lead Python services, apply secure and scalable design principles, and work closely with clients to validate solutions while maintaining high quality and observability across systems.

Qualifications

• 3+ years of professional software engineering experience with Python.
• Hands-on experience with FastAPI or comparable Python web frameworks.
• Proven track record shipping LLM-based applications and Gen AI workflows.
• Strong system design skills for scalable, reliable, secure services.

Responsibilities

• Design end-to-end AI-assisted product features from discovery through production release.
• Build Python services and APIs to power chat, reporting, and interfaces.
• Define system designs addressing scale, reliability, and security requirements.
• Partner with client stakeholders to gather requirements and validate solutions.
• Develop evaluation frameworks for LLM quality and automated tests.
• Implement monitoring, failure analysis, and privacy controls in production.
• Optimize AI solutions for latency, reliability, cost, and quality trade-offs.
• Review and validate AI-generated code from agents and tools.

Skills

Python

FastAPI

LLM/GenAI

System design

Security

Observability

Client collaboration

Tools

AWS

Kubernetes

Terraform

ReactJS

Next.js

Job description

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.ResponsibilitiesDesign end-to-end AI-assisted product features from discovery through production releaseBuild Python services and APIs using FastAPI to power chat, reporting, and bespoke interfacesDefine system designs that address scale, reliability, security, and maintainability requirementsPartner with sophisticated client stakeholders to gather requirements and validate solutionsDevelop evaluation frameworks for LLM quality, including test datasets and automated regressionsImplement monitoring and failure analysis workflows to detect and diagnose AI behavior in productionHarden AI applications with security controls against privacy risks and prompt-injection attacksOptimize AI solutions for quality, latency, reliability, and cost in real-world usageReview, test, and validate AI-generated code from coding agents and AI-assisted toolsShip iterative improvements quickly based on feedback while preserving a high quality barRequirements3+ years of professional software engineering experience with Python or similar languagesStrong hands-on experience with FastAPI or comparable Python web frameworksProven experience with forward deployed engineering in close partnership with clientsDemonstrated experience shipping LLM-based applications and Gen AI assisted development workflowsExperience with AI evaluation and quality engineering including automated evals and regression testingStrong system design skills for scalable, reliable, secure servicesHigh ownership and autonomy with ability to take loosely defined problems to production deliveryStrong product judgment with ability to gather requirements and identify edge casesStrong quality mindset focused on reliability, maintainability, and observabilityStrong security fundamentals for sensitive data including access control and privacy practicesStrong optimization skills across latency, reliability, cost, and model quality trade-offsStrong collaboration and communication skills in low-formality startup-like environmentsAdvanced English proficiency (C1, Advanced)Nice to haveAmazon Web Services experienceKubernetes experienceTerraform experienceReactJS experienceNext.js experienceWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn