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Wallet icon Coin icon Rate 120 000 CZK - 140 000 CZK / month info
Timer icon Form of cooperation Full-time
Briefcase icon Sector Healthcare and Pharmacy
Location icon Location 100% Remote

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 12 months with possibility of extension
Period of cooperation 01.07.2026 - 30.06.2027
Start date 01.07.2026 or by agreement
Project duration 12 months with possibility of extension
Period of cooperation 01.07.2026 - 30.06.2027
Start date 01.07.2026 or by agreement
Languages
  • English flag English - active, B2/C1/C2

Project description

  • design and optimization of a multi-phase query processing pipeline, including deterministic rules, vector search, and parallel processing
  • integration and management of Azure OpenAI models for query classification, query rewriting using HyDE, and security evaluation
  • management and optimization of OpenSearch indexes for knowledge base, FAQ content, and product documentation
  • implementation of vector search using embeddings and cosine similarity scoring
  • design and development of a security guardrails framework for detecting adverse events, off-label communication, PII data, and prompt injection attacks
  • optimization of prompts, model parameters, and AI service performance with an emphasis on low latency and high response quality
  • implementation of fallback strategies, circuit breaker patterns, and mechanisms for ensuring high service availability
  • design of shared application resources, including connection pooling, thread pools, and efficient management of API clients
  • testing and evaluation of embedding models, retrieval strategies, and search algorithms
  • collaboration with architects, developers, and business stakeholders on the design of AI solutions for production environments

Project requirements

  • advanced experience with:
    • development of AI applications based on LLM models and generative AI
    • design and implementation of RAG architectures, vector search, and retrieval systems
    • development in Python in a production environment
  • experience with:
    • Azure OpenAI platform and integration of AI services via API
    • implementation of security mechanisms for AI applications
    • performance optimization of backend services and distributed systems
    • A/B testing of models and measuring the quality of AI outputs
  • advanced knowledge of:
    • OpenSearch, search technologies, and data indexing
    • prompt engineering, model evaluation, and inference optimization
    • asynchronous processing, multithreading, and scalable service design
  • knowledge of:
    • REST API integrations
    • embedding models and similarity search methods
    • performance monitoring and observability tools
  • advantageous:
    • experience with pharmaceutical or regulated environments
    • knowledge of AWS services and working with boto3
    • experience in designing guardrails frameworks and AI governance
    • knowledge of security standards in generative AI
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