Demonstrates expertise in designing and building AI-powered search systems, with strong capabilities in Python programming, hybrid search methodologies, and scalable data infrastructure. Proficient in collaborating with cross-functional teams to enhance search relevance and performance in cloud environments.

Highest-signal resume keywords

Python ProgrammingHybrid Search SystemsElasticsearchAWS Cloud EnvironmentsInformation Retrieval

Tech Stack

Tools & technologies

AWSCloudElasticSearchPython

About the role

Key responsibilities & impact

Collaborate with product managers and stakeholders to translate business problems into AI-powered search and retrieval solutions
Design and build hybrid search systems combining BM25 keyword search and semantic/vector search across large datasets
Develop and optimize retrieval pipelines for RAG and AI-driven applications
Build scalable pipelines for document ingestion, indexing, embedding generation, and search ranking
Partner with the Data team on data collection, enrichment, chunking, and indexing
Design and implement AI-powered services combining LLMs with search infrastructure
Write Python code to manipulate data, build search pipelines, and evaluate retrieval performance
Develop tools and infrastructure for relevance tuning, search quality evaluation, and continuous ranking-model improvement
Work with cloud operations to deploy AI search services, monitor performance, and improve latency, relevance, and reliability
Help establish the Czech Republic R&D hub and collaborate with U.S.-based teams during the integration period

Requirements

What you’ll need

5+ years of professional software engineering experience, ideally in backend systems or search infrastructure
Experience building search or retrieval systems for large document stores
Hands-on experience with Elasticsearch, OpenSearch, Solr, or similar search platforms
Experience implementing hybrid search combining keyword-based retrieval with vector embeddings
Strong Python or equivalent modern tech stack development skills
Familiarity with document processing pipelines, including chunking, embeddings, and indexing
Experience building scalable data infrastructure into production SaaS systems
Experience working in AWS cloud environments and modern DevOps practices
Experience with vector databases such as Pinecone, Weaviate, Milvus, or FAISS
Experience tuning search ranking and relevance models
Background in information retrieval or search relevance engineering
Experience building RAG systems or AI agents
Experience working with LLMs and retrieval-augmented architectures
Familiarity with large-scale document processing, including OCR and structured document extraction
Exposure to fintech or the legal industry

Benefits

Comp & perks

Performance bonus opportunities and employee referral rewards
Flexible Time Off (FTO)
13 paid public holidays aligned with the Czech calendar
Paid sick leave with additional support through the Czech social security system
Maternity, paternity, and parental leave in line with Czech regulations
Additional paid paternity leave from 8am
Full statutory benefits, including public health insurance, social security, pension, and work accident coverage
Access to Coursera (including Gen AI Academy)
Ongoing professional development
Clear growth paths, regular feedback, and opportunities for advancement
Opportunities to travel for company events
Local events, outings, and community initiatives
Company swag
Wellness, learning, and connection programs
Flexible hybrid setup with opportunities to work in-person at the new Brno office

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringSearch InfrastructureDocument Processing PipelinesSearch Ranking TuningRAG SystemsLLMsVector DatabasesData InfrastructureIndexingEmbedding Generation

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

ElasticsearchOpenSearchSolrPineconeWeaviateMilvusFAISS

Industry Keywords

FintechLegal IndustrySearch Relevance Engineering