Advanced Software Engineering Manager

EPAM Systems; México; Remote; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling, reskilling and certified培训

LinkedIn Learning access

Global career opportunities

Job summary

EPAM Systems, Inc. is seeking an Advanced Software Engineering Manager to build an AI-powered financial assistant platform. You will own end-to-end delivery across backend services and AI features in a high-autonomy environment.

You will design end-to-end AI solutions, implement Python/FastAPI backends, integrate LLM capabilities for chat and reporting, and collaborate with a hands-on team to ship features with minimal process overhead.

Qualifications

• 8+ years of professional software engineering experience.
• Strong Python development experience (8+ years).
• Hands-on FastAPI experience.
• Advanced large language models (LLM) experience and Gen AI development.
• High autonomy and self-governance to drive ambiguous work from concept to delivery.
• Advanced English proficiency (C1).

Responsibilities

• Design end-to-end solutions for an AI-powered financial assistant platform.
• Build backend services and APIs in Python using FastAPI with production-grade reliability.
• Integrate LLM capabilities to deliver chat, reporting, and bespoke interfaces for investment workflows.
• Own system design decisions, evaluate edge cases, and define low-level requirements with stakeholders.
• Deploy and iterate quickly based on feedback from sophisticated business users.
• Ensure quality through testing, monitoring, and robust error handling.

Skills

Python

FastAPI

LLM

Gen AI

English (C1)

Tools

AWS

Kubernetes

Terraform

ReactJS

Anthropic Claude Code

Job description

We are looking for an Advanced Software Engineering Manager to build a next-generation AI-powered assistant platform that helps investment professionals work faster and make better decisions. You will own end-to-end delivery across backend services and AI features in a high-autonomy environment.ResponsibilitiesDesign end-to-end solutions for an AI-powered financial assistant platform from ambiguous problem statementsBuild backend services and APIs in Python using FastAPI with production-grade reliabilityIntegrate LLM capabilities to deliver chat, reporting, and bespoke interfaces for investment workflowsOwn system design decisions, evaluate edge cases, and define low-level requirements with stakeholdersDeploy and iterate quickly based on feedback from sophisticated business usersEnsure quality through testing strategies, monitoring considerations, and robust error handlingCollaborate with a small team of hands-on engineers to ship features with minimal process overheadRequirements8+ years of professional software engineering experienceStrong Python development experience (8+ years)Hands-on FastAPI experienceStrong forward deployed engineering experience working closely with business usersAdvanced large language models (LLM) experience and Gen AI assisted development practiceHigh autonomy and self-governance skills to drive ambiguous work from concept to deliveryHigh quality and reliability mindset with strong engineering rigorAdvanced English proficiency (C1)Nice to haveAmazon Web ServicesKubernetesTerraformReactJSAnthropic Claude CodeWe 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 LinkedInEPAM 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.