Lead Python Engineer (AI-Powered Financial Assistant)

EPAM Systems

Brasil

Remote

BRL 240,000 - 420,000

Full time

4 days ago
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Job summary

EPAM Systems, Inc. is seeking a Lead Python Engineer to build an AI-powered financial assistant platform. You will own end-to-end delivery within a small, capable team and shape product direction.

You will design and deliver backend services, define architecture for AI features, and build production-grade APIs using Python and FastAPI with strong testing and observability. Strong security and AI evaluation practices are required.

Qualifications

  • 5+ years of professional software engineering experience with Python.
  • Strong technical leadership and mentoring experience in senior engineering teams.
  • Proven system design experience for production backend services and APIs.
  • Deep FastAPI experience or strong experience with comparable Python web frameworks.
  • Hands-on experience with AI-DLC and Gen AI assisted development workflows.
  • Strong Large Language Models (LLM) application experience, including prompt design and integration patterns.

Responsibilities

  • Lead design and delivery of backend services for an AI-powered financial assistant platform.
  • Define system architecture balancing quality, latency, reliability, and cost for AI features.
  • Build production-grade APIs using Python and FastAPI with strong testing and observability.
  • Implement LLM-powered workflows with safeguards, validation, and failure handling.
  • Establish automated AI evaluations, test datasets, regression suites, and monitoring for model behavior.

Skills

Python
Lead engineering
System design
FastAPI
AI/GenAI workflows
LLM applications
Security knowledge
English proficiency

Tools

AWS
Kubernetes
Terraform
ReactJS
Next.js
FastAPI

Job description

We are seeking a Lead Python Engineer to build a next-generation AI-powered financial assistant platform, rapidly iterating on chat, reporting, and bespoke interfaces used in investment workflows. You will own end-to-end delivery in a small, highly capable team and help shape product direction.ResponsibilitiesLead design and delivery of backend services for an AI-powered financial assistantDefine system architecture that balances quality, latency, reliability, and cost for AI featuresBuild production-grade APIs using Python and FastAPI with strong testing and observabilityImplement LLM-powered workflows with robust safeguards, validation, and failure handlingEstablish automated AI evaluations, test datasets, regression suites, and monitoring for model behaviorHarden applications with security controls for sensitive data, auditing, and access managementCollaborate with product and business users to refine requirements and ship iterative improvementsDrive code quality through reviews, standards, and maintainable engineering practicesIntegrate AI-assisted programming and coding agents while critically validating generated codeTroubleshoot production issues with disciplined incident response and root-cause analysisGuide technical decisions in a low-process environment and keep delivery momentum highRequirements5+ years of professional software engineering experience with PythonStrong technical leadership and mentoring experience in senior engineering teamsProven system design experience for production backend services and APIsDeep FastAPI experience or strong experience with comparable Python web frameworksHands-on experience with AI-DLC and Gen AI assisted development workflowsStrong Large Language Models (LLM) application experience, including prompt design and integration patternsProven AI evaluation and quality engineering skills, including automated evals and regression testingStrong AI security knowledge, including privacy, access control, prompt-injection risks, and guardrailsHigh autonomy and self-governance skills to deliver from vague requirements through implementationStrong product judgment skills to identify edge cases and prioritize reliability and maintainabilityAdvanced English proficiency (C1, Advanced)Nice to haveAmazon Web ServicesKubernetesTerraformReactJSNext.jsWe 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.
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