DescriptionOur customers product is an AI-powered platform that helps businesses make better decisions and work more efficiently. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various industries including healthcare to optimize processes improve customer experiences and support innovation. It integrates easily with existing systems making it easier for teams to make quick data-driven decisions to deliver cutting-edge solutions.
Requirements- Bachelors or Masters degree in Computer Science or related field;
- 4 years of hands-on experience with Machine Learning and production LLM systems;
- Strong ML fundamentals: transformers prompt engineering embeddings vector search;
- Backend API experience with FastAPI async patterns and rate limiting;
- Experience with vector databases (Pinecone Weaviate Chroma) and hybrid search;
- Advanced Python skills: async/await type hints Pydantic SOLID principles;
- MLOps experience: MLflow model versioning A/B testing; Langfuse preferred;
- NLP & computer vision experience: document understanding OCR GPT-4 Vision;
- Experience building feature pipelines real-time & batch inference and model serving;
- Familiarity with HuggingFace (required); LangChain / LlamaIndex preferred.
Nice to have skills:
- Understanding of DevOps CI / CD including: Docker containerization Azure DevOps pipelines or GitHub Actions Kubernetes (nice to have);
- Data security including: Multi-tenant data isolation Secure key management (Azure Key Vault) Audit trail implementation;
- Experience in designing on cloud platform including: Azure (strongly preferred): Azure OpenAI Blob Storage Key Vault Container Registry AWS or GCP;
- Experience in data engineering in Big Data systems including: Large-scale data processing ETL/ELT pipelines.
Responsibilities:
- Design and build scalable backend systems APIs and microservices with FastAPI;
- Write high-quality backend code using Python SQL async/await and solid OOP principles;
- Apply software best practices to ensure reliability scalability and on-time delivery;
- Implement dependency injection layered architectures and SOLID design patterns;
- Integrate Azure OpenAI (GPT-4 GPT-4 Vision) with robust retry and error handling;
- Build LLM observability with Langfuse (prompts tokens cost latency);
- Develop prompt management with versioning fallbacks and cost optimization strategies;
- Orchestrate async workflows using Celery for complex pipelines;
- Design multi-tenant architectures with strict data isolation;
- Integrate third-party APIs (Veeva Vault Adobe PDF Services OCR);
- Troubleshoot systems using structured logging and distributed tracing;
- Document APIs and changes using OpenAPI/Swagger.
Benefits- Employment-based cooperation
- Awesome projects with an impact
- Comprehensive insurance for you and your family (health life and accident)
- Paid PTO policy (vacation sick leaves and public holidays)
- Tech equipment provided
- Udemy courses workshops trainings & expert knowledge-sharing
- Clear career path
- Flexible hours & work setup
Required Experience:
Senior IC
DescriptionOur customers product is an AI-powered platform that helps businesses make better decisions and work more efficiently. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various indus...
DescriptionOur customers product is an AI-powered platform that helps businesses make better decisions and work more efficiently. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various industries including healthcare to optimize processes improve customer experiences and support innovation. It integrates easily with existing systems making it easier for teams to make quick data-driven decisions to deliver cutting-edge solutions.
Requirements- Bachelors or Masters degree in Computer Science or related field;
- 4 years of hands-on experience with Machine Learning and production LLM systems;
- Strong ML fundamentals: transformers prompt engineering embeddings vector search;
- Backend API experience with FastAPI async patterns and rate limiting;
- Experience with vector databases (Pinecone Weaviate Chroma) and hybrid search;
- Advanced Python skills: async/await type hints Pydantic SOLID principles;
- MLOps experience: MLflow model versioning A/B testing; Langfuse preferred;
- NLP & computer vision experience: document understanding OCR GPT-4 Vision;
- Experience building feature pipelines real-time & batch inference and model serving;
- Familiarity with HuggingFace (required); LangChain / LlamaIndex preferred.
Nice to have skills:
- Understanding of DevOps CI / CD including: Docker containerization Azure DevOps pipelines or GitHub Actions Kubernetes (nice to have);
- Data security including: Multi-tenant data isolation Secure key management (Azure Key Vault) Audit trail implementation;
- Experience in designing on cloud platform including: Azure (strongly preferred): Azure OpenAI Blob Storage Key Vault Container Registry AWS or GCP;
- Experience in data engineering in Big Data systems including: Large-scale data processing ETL/ELT pipelines.
Responsibilities:
- Design and build scalable backend systems APIs and microservices with FastAPI;
- Write high-quality backend code using Python SQL async/await and solid OOP principles;
- Apply software best practices to ensure reliability scalability and on-time delivery;
- Implement dependency injection layered architectures and SOLID design patterns;
- Integrate Azure OpenAI (GPT-4 GPT-4 Vision) with robust retry and error handling;
- Build LLM observability with Langfuse (prompts tokens cost latency);
- Develop prompt management with versioning fallbacks and cost optimization strategies;
- Orchestrate async workflows using Celery for complex pipelines;
- Design multi-tenant architectures with strict data isolation;
- Integrate third-party APIs (Veeva Vault Adobe PDF Services OCR);
- Troubleshoot systems using structured logging and distributed tracing;
- Document APIs and changes using OpenAPI/Swagger.
Benefits- Employment-based cooperation
- Awesome projects with an impact
- Comprehensive insurance for you and your family (health life and accident)
- Paid PTO policy (vacation sick leaves and public holidays)
- Tech equipment provided
- Udemy courses workshops trainings & expert knowledge-sharing
- Clear career path
- Flexible hours & work setup
Required Experience:
Senior IC
View more
View less