Chief Python Software Engineer

EPAM Systems

Argentina

Presencial

ARS 3.000.000 - 4.800.000

Jornada completa

hace 17 horas
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Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certif.
LinkedIn Learning access

Descripción de la vacante

EPAM Systems seeks a Chief Python Software Engineer to lead a senior team building a next-generation AI-powered financial assistant platform. You will iterate with business users to test, refine, and deploy chat, reporting, and bespoke interfaces into investment workflows.

Responsibilities include shaping product direction, delivering production-grade systems, and ensuring quality, security, and reliability of AI-enabled applications while adapting to a fast-paced startup environment.

Formación

  • 7+ years of experience in Python, React (TS), or other programming languages.
  • Desire and readiness to learn Python if not already proficient.
  • Experience with FastAPI or other Python frameworks, along with AWS, Kubernetes, and Terraform.
  • High autonomy and self-governance in handling loosely defined tasks, from requirements gathering to design and delivery.
  • Readiness to work in a startup environment and continuously learn new languages and technologies.
  • High bar for quality and reliability in software delivery.
  • Experience with FE work, including TS/JS, React/NextJS/Node.
  • Proficiency in AI-assisted programming methods and tools, including coding agents for code generation.
  • Experience with AI evaluation and quality engineering, including automated evaluations, test datasets, regression testing, and failure analysis.
  • Understanding of AI security and production controls, including data privacy, access control, prompt-injection risks, guardrails, and auditability.
  • Ability to optimize AI applications across quality, latency, reliability, and cost.
  • Ability to learn and adopt new technologies rapidly as the AI ecosystem evolves.
  • Advanced proficiency in English (C1+)

Responsabilidades

  • Collaborate with a small team of engineers in a startup-style environment.
  • Work directly with technical stakeholders without needing to interface with non-technical clients.
  • Gather low-level requirements from high-level task definitions.
  • Produce system designs and deliver production-grade implementations with high autonomy.
  • Shape and influence product direction and architecture decisions.
  • Build and maintain systems using cutting-edge technology without legacy constraints.
  • Adopt new languages and technologies as the stack evolves.
  • Optimize AI applications across quality, latency, reliability, and cost.
  • Review, test, and validate AI-generated code produced through coding agents.
  • Monitor AI behavior in production and conduct failure analysis and regression testing.
  • Maintain high quality, reliability, security, and maintainability across deliverables.

Conocimientos

Python
React/TS
AI-assisted programming
English (C1+)
High autonomy
FE work (TS/JS)

Herramientas

AWS
Kubernetes
Terraform

Descripción del empleo

We are seeking a Chief Python Software Engineer to join a small team of senior developers building a next-generation AI-powered financial assistant platform, rapidly iterating with business users to test, refine, and deploy chat, reporting, and bespoke interfaces into investment workflows.

Responsibilities
  • Collaborate with a small team of highly competent, hands-on engineers in a startup-style environment with minimal formality
  • Work directly with sophisticated, technical stakeholders without the need to interface with non-technical clients or users
  • Gather low-level requirements from high-level task definitions and consider edge cases before implementation
  • Produce system designs and deliver production-grade implementations with high autonomy and self-governance
  • Shape and influence product direction and architecture decisions
  • Build and maintain systems using cutting-edge technology without legacy constraints
  • Adopt new languages and technologies as the team evolves its stack
  • Optimize AI applications across quality, latency, reliability, and cost
  • Review, test, and validate AI-generated code produced through coding agents
  • Monitor AI behavior in production and conduct failure analysis and regression testing
  • Maintain a high bar for quality, reliability, security, and maintainability across deliverables
Requirements
  • 7+ years of experience in Python, React (TS), or other programming languages
  • Desire and readiness to learn Python if not already proficient
  • Experience with FastAPI or other Python frameworks, along with AWS, Kubernetes, and Terraform
  • High autonomy and self-governance in handling loosely defined tasks, from requirements gathering to design and delivery
  • Readiness to work in a startup environment and continuously learn new languages and technologies
  • High bar for quality and reliability in software delivery
  • Experience with FE work, including TS/JS, React/NextJS/Node
  • Proficiency in AI-assisted programming methods and tools, including coding agents for code generation
  • Experience with AI evaluation and quality engineering, including automated evaluations, test datasets, regression testing, and failure analysis
  • Understanding of AI security and production controls, including data privacy, access control, prompt-injection risks, guardrails, and auditability
  • Ability to optimize AI applications across quality, latency, reliability, and cost
  • Ability to learn and adopt new technologies rapidly as the AI ecosystem evolves
  • Advanced proficiency in English (C1+)
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
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