Software and MLOps Engineer – GenAI, Semantic Search
Core
Build scalable semantic search systems, develop AI architectures (LLM fine-tuning, agents), and optimize MLOps/DevOps stacks for AI-driven knowledge extraction and visualization.
Role type
Software and MLOps Engineer (GenAI, Semantic Search)
Builds
Scalable semantic search systems, AI-driven knowledge extraction and visualization tools, REST/gRPC APIs
Domain
IT, Data Processing, Artificial Intelligence, Semantic Search
Deliverable
production ML models
Required skills
Python, Java, Machine Learning, Docker, Kubernetes, Natural Language Processing, RAG
Preferred skills
Elasticsearch, PostgreSQL, CockroachDB, CI/CD, automated testing
Technologies
Python, Java, Docker, Kubernetes, Elasticsearch, PostgreSQL, CockroachDB
Responsibilities
Build scalable semantic search systems (RAG, embeddings, distributed indexing); Develop reference AI architectures and workflows (LLM fine-tuning, AI agents); Build high-performance REST and gRPC APIs; Optimize Elasticsearch and database systems; Run and improve MLOps and DevOps stack
Seniority
Professional Experience (Young Professional to Experienced)