Senior AI Engineer

EPAM Systems

Argentina

Presencial

ARS 135.892.000 - 196.289.000

Jornada completa

hace 29 horas
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Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits
Paid time off
Upskilling and certification options
LinkedIn Learning access

Descripción de la vacante

EPAM Systems is seeking a Senior AI Engineer to help modernize insurance technology through Agentic AI solutions. You will join a global team creating intelligent products that streamline complex insurance processes, allowing brokers to devote more time to strategic decisions and customer relationships.

You will design AI pipelines, build enterprise-grade AI systems with LLMs, retrieval-augmented generation, and observability.

Formación

  • 3+ years of professional experience in software engineering, artificial intelligence, machine learning, or a closely related technical discipline
  • Strong programming capability in Python and TypeScript for developing and maintaining AI-enabled applications
  • Proven experience taking AI products from initial concept and prototyping through successful production deployment
  • Practical expertise working with machine learning techniques, models, and Large Language Models
  • Familiarity with modern engineering workflows, including CI/CD pipelines and containerized deployments
  • Well-developed analytical and troubleshooting skills for resolving complex technical and business problems
  • Effective communication skills with the ability to clearly present technical topics to non-technical business audiences
  • English proficiency at B2 level or above, both written and spoken

Responsabilidades

  • Assess insurance broking processes to uncover valuable opportunities for AI-driven automation and improvement
  • Architect, build, and release enterprise-ready AI products that simplify complex insurance-related workflows
  • Develop intelligent applications using Large Language Models, Retrieval-Augmented Generation, document intelligence, information extraction, classification, and agentic solution patterns
  • Partner with brokers, underwriters, and operational stakeholders to translate real business needs into scalable technical solutions
  • Lead AI initiatives throughout the full delivery cycle, from early discovery and proof of concept through production rollout, monitoring, and iteration
  • Establish comprehensive evaluation practices for AI systems, covering quality testing, performance tracking, observability, and hallucination identification
  • Promote fast-paced experimentation by applying current AI engineering tools, methods, and delivery practices
  • Use automation to increase productivity, shorten processing timelines, and improve operational outcomes across the business
  • Support the growth of other engineers through mentoring and by championing dependable AI engineering standards
  • Investigate emerging AI capabilities and apply relevant innovations to challenges within the insurance sector

Descripción del empleo

We are looking for a Senior AI Engineer to help modernize insurance technology through next-generation Agentic AI solutions. You will join a global team creating intelligent products that streamline complex insurance processes, allowing brokers to devote more time to strategic decisions and customer relationships

Responsibilities
  • Assess insurance broking processes to uncover valuable opportunities for AI-driven automation and improvement
  • Architect, build, and release enterprise-ready AI products that simplify complex insurance-related workflows
  • Develop intelligent applications using Large Language Models, Retrieval-Augmented Generation, document intelligence, information extraction, classification, and agentic solution patterns
  • Partner with brokers, underwriters, and operational stakeholders to translate real business needs into scalable technical solutions
  • Lead AI initiatives throughout the full delivery cycle, from early discovery and proof of concept through production rollout, monitoring, and iteration
  • Establish comprehensive evaluation practices for AI systems, covering quality testing, performance tracking, observability, and hallucination identification
  • Promote fast-paced experimentation by applying current AI engineering tools, methods, and delivery practices
  • Use automation to increase productivity, shorten processing timelines, and improve operational outcomes across the business
  • Support the growth of other engineers through mentoring and by championing dependable AI engineering standards
  • Investigate emerging AI capabilities and apply relevant innovations to challenges within the insurance sector
Requirements
  • At least 3 years of professional experience in software engineering, artificial intelligence, machine learning, or a closely related technical discipline
  • Strong programming capability in Python and TypeScript for developing and maintaining AI-enabled applications
  • Proven experience taking AI products from initial concept and prototyping through successful production deployment
  • Practical expertise working with machine learning techniques, models, and Large Language Models
  • Familiarity with modern engineering workflows, including continuous integration and continuous delivery pipelines as well as containerized deployments
  • Well-developed analytical and troubleshooting skills for resolving complex technical and business problems
  • Effective communication skills with the ability to clearly present technical topics to non-technical business audiences
  • English proficiency at B2 level or above, both written and spoken
Nice to have
  • Experience with reinsurance or insurance underwriting operations and the workflows that support these functions
  • Knowledge of the insurance industry, including its business processes, systems, and regulatory considerations
  • Exposure to Infrastructure as Code practices, particularly for implementing secure and repeatable cloud environments
  • Familiarity with monitoring and observability solutions for tracking the reliability, performance, and behavior of production systems
  • Technical leadership experience, including guiding engineering decisions and supporting teams in delivering high-quality solutions
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 opportunitiesEPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
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