Senior AI Engineer

EPAM Systems, Inc.; Brasil; Teletrabalho; BRL 180 000 - 320 000; Tempo integral

Resumo da oferta

EPAM Systems, Inc. is seeking a Senior AI Engineer to modernize insurance tech by building agentic AI solutions.

You will join a global team delivering intelligent products that streamline complex insurance processes for brokers and underwriters. You will lead AI initiatives, develop with LLMs and RAG, ensure observability, and mentor others while working across insurance workflows, analytics, and cloud deployments.

Qualificações

• Proficiency in Python and TypeScript for AI-enabled apps.
• Experience moving AI products from prototype to production.
• Familiarity with LLMs, plug-in patterns, and retrieval-based techniques.

Responsabilidades

• Assess broking processes to identify AI automation opportunities.
• Architect and release enterprise AI products for insurance workflows.
• Develop AI apps using LLMs, RAG, document intelligence, extraction, and classification.
• Collaborate with brokers, underwriters, and stakeholders to translate needs into scalable solutions.
• Lead AI initiatives from discovery to production rollout, monitoring, and iteration.
• Establish evaluation practices for AI systems, including testing and observability.
• Promote rapid experimentation with modern AI tools and methods.
• Automate processes to improve productivity and reduce timelines.
• Mentor engineers and promote dependable AI engineering standards.
• Explore emerging AI capabilities and apply innovations to insurance challenges.

Conhecimentos

Python

TypeScript

AI/ML

LLMs

RAG

Document Intelligence

Information Extraction

Classification

Agentic Solutions

CI/CD

Containerization

Observability

Monitoring

Infrastructure as Code

Mentoring

Leadership

English B2

Descrição da oferta de emprego

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 relationshipsResponsibilitiesAssess insurance broking processes to uncover valuable opportunities for AI-driven automation and improvementArchitect, build, and release enterprise-ready AI products that simplify complex insurance-related workflowsDevelop intelligent applications using Large Language Models, Retrieval-Augmented Generation, document intelligence, information extraction, classification, and agentic solution patternsPartner with brokers, underwriters, and operational stakeholders to translate real business needs into scalable technical solutionsLead AI initiatives throughout the full delivery cycle, from early discovery and proof of concept through production rollout, monitoring, and iterationEstablish comprehensive evaluation practices for AI systems, covering quality testing, performance tracking, observability, and hallucination identificationPromote fast-paced experimentation by applying current AI engineering tools, methods, and delivery practicesUse automation to increase productivity, shorten processing timelines, and improve operational outcomes across the businessSupport the growth of other engineers through mentoring and by championing dependable AI engineering standardsInvestigate emerging AI capabilities and apply relevant innovations to challenges within the insurance sectorRequirementsAt least 3 years of professional experience in software engineering, artificial intelligence, machine learning, or a closely related technical disciplineStrong programming capability in Python and TypeScript for developing and maintaining AI-enabled applicationsProven experience taking AI products from initial concept and prototyping through successful production deploymentPractical expertise working with machine learning techniques, models, and Large Language ModelsFamiliarity with modern engineering workflows, including continuous integration and continuous delivery pipelines as well as containerized deploymentsWell-developed analytical and troubleshooting skills for resolving complex technical and business problemsEffective communication skills with the ability to clearly present technical topics to non-technical business audiencesEnglish proficiency at B2 level or above, both written and spokenNice to haveExperience with reinsurance or insurance underwriting operations and the workflows that support these functionsKnowledge of the insurance industry, including its business processes, systems, and regulatory considerationsExposure to Infrastructure as Code practices, particularly for implementing secure and repeatable cloud environmentsFamiliarity with monitoring and observability solutions for tracking the reliability, performance, and behavior of production systemsTechnical leadership experience, including guiding engineering decisions and supporting teams in delivering high-quality solutionsWe 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.