Senior Python Engineer – AI Agents & LLM Systems
Tasks
- Analyze performance and identify bottlenecks
- Build AI agents and agent networks
- Build serverless architectures
- Collaborate with designers and product teams on AI solution requirements
- Create modular agent architectures with LangChain
- Deploy and manage AI models with MLOps
- Design AI solutions
- Develop agentic RAG systems
- Ensure data anonymization encryption authentication and access control
- Implement Pub Sub data ingestion
- Implement data ingestion pipelines
- Implement retrieval-augmented generation
- Integrate AI models with external systems using APIs
- Integrate large language models for text generation and question answering
- Optimize system performance and reduce latency with caching
Perks/Benefits
- Bring a friend benefit
- Company events and team buildings
- Day off on birthday
- English classes
- Extra days off
- Flexible compensation
- Flexible hours
- Gympass
- Health insurance
- Remote work
- Training budget
- Volunteering opportunities
Skills/Tech-stack
API Design | Access Control | Agentic RAG | Anomaly Detection | Authentication | Azure | Azure Databricks | Azure Purview | Caching | Data Cataloging | Data Governance | Data Lineage | Data Quality | Decryption | Delta Lake | Docker | ETL | Encryption | GCP | GDPR | Git | GitHub | Haystack | Langchain | Language Models | Large Language Models | Linux | Llamaindex | ML Ops | MLOps | MLflow | Machine Learning | NoSQL | Pub/Sub | Python | Question Answering | REST | Rasa | Retrieval-Augmented Generation | SQL | Serverless | Spark | Text Generation
Education
N/A
Roles
AI | AI Engineer | Engineer | Python Engineer | Senior Python Engineer
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