Live opening · Posted 2 days ago

Senior Python Engineer (AI-Powered Financial Assistant)

EPAM Systems · Colombia (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyEPAM Systems
LocationColombia (Remote)
Work modeYes
SkillsPython, JavaScript, React, Next.js, AWS, Kubernetes, Terraform
SourceLinkedin
ListedPosted 2 days ago

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About the role

Description supplied by the original job listing.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
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
We offer
International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

Work arrangement
Yes

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