Senior AI Engineer
Primary stack
Nice to have's
Job description
About the Position
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
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EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.