2 publicaciones de empleo destacadas de engineer infrastructure en remote (¡Están contratando!)

Senior AI Engineer
EPAM Systems, Inc. —Desde casa
19h
AWS DevOps Engineer
ScaleUp —Desde casa
- Tiempo completo
Postulación rápida
10h

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AWS DevOps Engineer
ScaleUp —Desde casa
Type: Full-time, long-term contractor. Our client is looking to hire an experienced AWS DevOps Engineer to design, implement, and manage secure, scalable, and…
Postulación rápida
10h

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Empleos de Ai Developer en Desde Casa

Empleos de Data Engineer en Buenos Aires, Buenos Aires

Senior AI Engineer

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Hace 19 horas

Descripción completa del empleo

We are looking for a Senior AI Engineer to join our team. Our client is reshaping its approach to insurance technology, shifting away from outdated systems toward cutting-edge, Agentic AI-driven solutions. You'll become part of an international team focused on developing smart systems capable of automating intricate insurance processes, freeing up brokers to concentrate on high-value decisions and stronger client partnerships.

Responsibilities

Spot valuable opportunities to introduce AI across various functions within Insurance Broking
Architect, build, and launch production-ready AI systems designed to streamline intricate insurance processes
Develop AI-driven applications using LLMs, RAG, document processing, data extraction, classification techniques, and agent-based frameworks
Work hand-in-hand with brokers, underwriters, and operations staff to grasp business pain points and craft scalable AI-based solutions
Take full accountability for the product journey, spanning ideation, prototyping, launch, ongoing monitoring, and iterative refinement
Build comprehensive AI evaluation systems covering testing, performance tracking, monitoring, and detection of hallucinations
Lead fast-paced experimentation and foster innovation by applying current AI engineering methodologies
Boost operational output, shorten processing times, and enhance overall business efficiency through smart automation
Guide and support fellow engineers while championing sound practices for developing dependable AI systems
Investigate and integrate cutting-edge AI advancements to address challenges specific to the insurance sector

Requirements

A Bachelor's or Master's degree in Computer Science, Engineering, or a comparable discipline, or equivalent hands-on experience
At least 3 years of applicable background in Software Engineering, AI/ML, Machine Learning, or closely related areas
Solid command of Python and TypeScript
Track record of taking AI-based products from initial concept through to full production
Practical experience working with machine learning models and Large Language Models (LLMs)
Familiarity with contemporary software engineering approaches, such as CI/CD and containerization
Sharp analytical thinking, strong problem-solving ability, and effective communication skills
Capacity to break down technical topics in a way that resonates with business-side stakeholders
Excellent English communication skills (B2 level or higher)

Nice to have

Exposure to (Re)Insurance Underwriting Operations to strengthen understanding of sector-specific processes
Understanding of Infrastructure as Code, particularly from a security standpoint, to enable secure and repeatable environment setup
Prior experience within the Insurance sector to add valuable context to AI solution development
Hands-on work with Monitoring and Observability tooling to maintain visibility into production system performance
Experience in a Technical Leadership capacity, guiding teams and shaping engineering strategy

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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