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
Semantic search systems, AI workflows, REST/gRPC APIs, Elasticsearch/PostgreSQL/CockroachDB clusters, CI/CD pipelines
Domain
IT, Data Processing, Science, Research
Deliverable
production ML models (via careerplan.io/jobs/10034271-software-and-mlops-engineer-genai-semantic-search-at-weblyzard-technology-gmbh)
Required skills
Python, Java, Machine Learning, Docker, Kubernetes, Natural Language Processing, RAG
Preferred skills
Elasticsearch, PostgreSQL, CockroachDB, CI/CD, LLM fine-tuning, AI agents
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)
