Senior Ai Engineer

Epam Systems; Lisboa; Remote; EUR 80.000 - 110.000; Vollzeit

Benefits dieser Stelle

Remote work

Flexible working hours

Career development

Zusammenfassung

Epam Systems in Portugal is seeking a Senior AI Engineer to join our team in a fully remote work model. You will help transform insurance operations with AI-powered solutions that automate workflows, reduce processing time, and enable strategic decision-making.

You will design, build, and deploy enterprise AI systems leveraging LLMs, RAG pipelines, and agent-based frameworks to improve efficiency for global stakeholders while ensuring reliability, scalability, and compliance in production

Qualifikationen

• Bachelor's or Master's in CS/Engineering or equivalent.
• 5–8+ years in software engineering or AI/ML roles.
• Proficient in Python and building AI-powered products.
• Hands-on with LLMs, Generative AI, and RAG.
• Experience with CI/CD, containers, and cloud platforms.
• Strong communication skills.

Aufgaben

• Identify opportunities for AI adoption in insurance ops and deliver production-ready solutions.
• Design, develop, and deploy AI apps with LLMs, RAG pipelines, and agentic workflows.
• Build document processing, information extraction, and classification systems for insurance processes.
• Define AI evaluation frameworks for reliability and monitoring.
• Own complete AI solution lifecycle from ideation to deployment.
• Mentor engineers and promote AI best practices.

Kenntnisse

Python

LLMs

RAG

Agent-based AI

API design

CI/CD

Docker

Cloud platforms

Communication

Ausbildung

Bachelor's or Master's in CS/Engineering

Tools

Kubernetes

Databricks

dbt

Spark

Vector databases

IaC

Jobbeschreibung

We\'re looking for a Senior AI Engineer to join our team in Portugal in a fully remote working mode. In this role, you will help transform core insurance operations by developing intelligent, AI-powered solutions that automate complex workflows, reduce processing time, and enable strategic decision-making. You will work on designing, building, and deploying enterprise-grade AI systems leveraging LLMs, Retrieval-Augmented Generation (RAG), and agent-based frameworks to improve operational efficiency for global stakeholders. This is an opportunity to drive innovation while ensuring reliability, scalability, and compliance for production-ready AI solutions.

Responsibilities

• Identify opportunities for AI adoption within insurance operations and deliver production-ready solutions
• Design, develop, and deploy AI applications leveraging LLMs, RAG pipelines, and agentic workflows
• Build intelligent document processing, information extraction, and classification systems for insurance processes
• Define and implement AI evaluation frameworks for reliability, hallucination detection, and performance monitoring
• Own the complete AI solution lifecycle from ideation and prototyping through deployment and continuous optimization
• Drive rapid experimentation using modern development practices and emerging AI technologies
• Collaborate directly with functional teams including brokers and underwriters to ensure business alignment
• Implement frameworks for model observability, CI/CD automation, and secure data handling
• Mentor engineers, promote AI best practices, and champion operational excellence in production systems
• Research emerging trends and integrate cutting-edge AI technologies into enterprise-scale solutions

Requirements

• Bachelor\'s or Master\'s in Computer Science, Engineering, or related field, or equivalent practical experience
• 5–8+ years of experience in software engineering, AI/ML, or applied machine learning roles
• Strong proficiency in Python and experience building AI-powered products from concept to production
• Hands-on knowledge of LLMs, Generative AI techniques, RAG, and agent-based AI workflows
• Familiarity with full-stack fundamentals and API design for AI applications
• Experience with CI/CD pipelines, containerization (Docker), and cloud platforms
• Strong understanding of monitoring practices, secure data handling, and AI risk considerations (cost, latency, accuracy)
• Excellent communication skills for bridging technical concepts with business objectives
• Nice to have
• Previous experience in insurance or financial services domain
• Exposure to multi-agent orchestration frameworks, fine-tuning LLMs, or model customization
• Understanding of vector databases and AI observability frameworks
• Familiarity with Kubernetes, Infrastructure as Code (IaC), and event-driven architecture
• Experience in distributed systems tracing, feature flagging, and progressive deployment strategies
• Knowledge of data engineering tools such as Spark, Databricks, or dbt
• Experience using AI-assisted development and providing mentorship in engineering teams

We offer

• Competitive compensation depending on experience and skills
• Variety of projects within one company
• Being a part of a project following engineering excellence standards
• Individual career path and professional growth opportunities
• Internal events and communities
• Flexible work hours

Senior Ai Engineer • Lisbon, Portuguese Republic, PT