AI Platform Software Engineering Manager (Python/FastAPI)

EPAM Systems, Inc.; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certification

Job summary

EPAM Systems, Inc. is seeking an AI Platform Software Engineering Manager to build a next-generation AI-powered financial assistant platform and to shape production systems end-to-end.

You will design end-to-end AI-driven services, implement Python-based FastAPI APIs for production workloads, and ensure reliability, security, and cost efficiency. Collaboration with business users and leadership to uphold engineering standards will be core responsibilities.

Qualifications

• 8+ years of software engineering experience with Python or comparable languages.
• Strong FastAPI experience building production APIs and services.
• Strong forward deployed engineering experience working closely with business users.
• Proven leadership skills to drive technical direction and uphold engineering standards.
• Strong system design skills to define architecture from high-level problem statements.
• Strong AI evaluation and quality engineering skills including automated evals and regression testing.
• Strong AI security knowledge including data privacy, access control, and prompt-injection defenses.
• Strong autonomy and self-governance skills to execute with minimal process.
• Advanced English proficiency (C1, Advanced) for clear collaboration and documentation.

Responsibilities

• Design end-to-end systems for an AI-powered assistant from loosely defined goals.
• Build Python services and APIs using FastAPI for production workloads.
• Deliver production implementations that balance quality, latency, reliability, and cost.
• Define evaluation approaches for AI features using automated tests, datasets, and regression suites.
• Implement monitoring and failure analysis workflows to validate AI behavior in production.
• Apply security controls for AI systems including guardrails, auditability, and safe data handling.
• Collaborate with business users to gather requirements, validate assumptions, and refine solutions.
• Review and validate AI-generated code from coding agents to ensure correctness and safety.
• Drive technical decisions in a low-formality environment and keep delivery moving.
• Maintain a high bar for reliability, security, and maintainability across the codebase.

Skills

Python

FastAPI

System design

Leadership

AI evaluation

Security

Code review

English proficiency

Autonomy

Tools

AWS

Kubernetes

Terraform

ReactJS

Anthropic Claude

Job description

We are seeking an AI Platform Software Engineering Manager to build a next-generation AI-powered financial assistant platform and need a hands-on senior engineer to shape production systems end-to-end. You will work in a small, highly capable team to iterate quickly from problem discovery through design, delivery, and reliability.ResponsibilitiesDesign end-to-end systems for an AI-powered assistant from loosely defined goalsBuild Python services and APIs using FastAPI for production workloadsDeliver production implementations that balance quality, latency, reliability, and costDefine evaluation approaches for AI features using automated tests, datasets, and regression suitesImplement monitoring and failure analysis workflows to validate AI behavior in productionApply security controls for AI systems including guardrails, auditability, and safe data handlingCollaborate with business users to gather requirements, validate assumptions, and refine solutionsReview and validate AI-generated code from coding agents to ensure correctness and safetyDrive technical decisions in a low-formality environment and keep delivery movingMaintain a high bar for reliability, security, and maintainability across the codebaseRequirements8+ years of software engineering experience with Python or comparable languagesStrong FastAPI experience building production APIs and servicesStrong forward deployed engineering experience working closely with business usersProven leadership skills to drive technical direction and uphold engineering standardsStrong system design skills to define architecture from high-level problem statementsStrong AI evaluation and quality engineering skills including automated evals and regression testingStrong AI security knowledge including data privacy, access control, and prompt-injection defensesStrong autonomy and self-governance skills to execute with minimal processHigh quality mindset focused on reliability, maintainability, and production readinessAdvanced English proficiency (C1, Advanced) for clear collaboration and documentationNice 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 LinkedIn