Senior AI Engineer

We are seeking a Senior AI Engineer to design, deploy and optimize cutting-edge AI infrastructure powering large-scale GenAI applications. In this role, you will work with vector databases, LLM frameworks and cloud-native technologies to build robust, production-grade systems that drive intelligent solutions across the organization.

Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.

Responsibilities

• Deploy and manage Milvus vector databases including schema design and index tuning with HNSW and IVF-FLAT
• Build embedding and LLM framework pipelines leveraging OpenAI API, Hugging Face or Cohere
• Manage Kubernetes clusters, Helm charts and containerized microservices for scalable orchestration
• Implement Docker containerization with multi-stage builds and registry management
• Develop production-level applications in Python along with Go, Java or C++
• Integrate object storage systems including AWS S3, MinIO or Google Cloud Storage
• Support large-scale RAG applications and multi-agent platforms
• Optimize compute and inference through GPU scheduling, resource optimization and inference acceleration
• Drive search optimization with hybrid search, metadata filtering and index tuning
• Collaborate effectively with the team to deliver high-quality solutions

Requirements

• B.Tech/B.E in Engineering with 5+ years of relevant experience
• Expertise in Milvus deployment, schema design and index tuning (HNSW, IVF-FLAT)
• Familiarity with Qdrant, Pinecone, Weaviate, PGVector or Chroma
• Proficiency in OpenAI API, Hugging Face or Cohere for embeddings and LLMs
• Skills in Kubernetes cluster management, Helm charts and containerized microservices
• Competency in Docker containerization, multi-stage builds and registry management
• Production-level proficiency in Python along with Go, Java or C++
• Knowledge of object storage integration including AWS S3, MinIO or Google Cloud Storage
• Excellent verbal and written communication skills

Nice to have

• Background in supporting large-scale RAG applications and multi-agent platforms
• Familiarity with LangChain, LlamaIndex or custom LLM orchestration pipelines
• Understanding of AI observability through LLM evaluation, governance, tracing and monitoring tools
• Knowledge of CI/CD pipelines, Infrastructure-as-Code and cloud-native deployment practices
• Prior work experience in the Oil and Gas industry along with Dataiku DSS and SRE practices

We offer

• We connect like-minded people
• Delivering innovative solutions to industry leaders, making a global impact
• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
• Opportunity to work abroad for up to two months per year
• Relocation opportunities within our offices in 55+ countries
• Corporate and social events
• We invest in your growth
• 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
• We cover it all
• Participation in the Employee Stock Purchase Plan
• Monetary bonuses for engaging in the referral program
• Comprehensive medical & family care package
• Five trust days per year (sick leave without a medical certificate)
• Benefits package (sports activities, a variety of stores and services)
  

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.