Overview
We are seeking a Senior AI Engineer with .NET to join our team focused on developing AI agents along with the backend and frontend for related applications. With 20+ agents launched, we accelerate innovation across critical industries. You’ll work in a high-impact, high-autonomy environment, taking projects from concept to production.
- Design and implement backend and full-stack applications, AI agents and platform components
- Development of developer tooling, CI/CD and observability for safe, fast iteration
- Application of secure SDLC and privacy-by-design practices
- Collaborate with cross-functional teams to deliver customer-focused solutions
- Use of current LLM patterns such as RAG, retrieval, routing, tool-use and evals to deliver reliable, efficient AI systems
- 3+ years of professional software engineering experience
- Skills in full-stack development
- Background in building AI agents with TypeScript, .NET or Go
- Proficiency in cloud platforms such as AWS, Azure or GCP
- Proven track record delivering secure, reliable, cloud-native systems
- Excellent problem-solving and communication skills
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to EPAM's internal learning database
- Free English classes with certified teachers
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Four trust days per year for personal needs
- Discounts for fitness clubs
- Benefits package (hotels, restaurants, stores and services)
- Familiarity with LangChain/LangGraph, vector/RAG systems or OpenSearch
- Expertise in ML training, deployment and monitoring
- Understanding of LLMs, fine-tuning and model adaptation
- AI Solution Engineering
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