Python Developer

Wand provides an agentic labor infrastructure that enables humans and AI agents to operate as a unified, hybrid workforce. The platform allows global enterprises and governments to create, manage, and scale digital workforces by integrating agent ecosystems into core business operations.

• Design and build scalable search and retrieval systems combining lexical and semantic approaches;
• Develop and maintain connectors to enterprise data sources including SaaS platforms, data warehouses, document stores, and APIs;
• Build data pipelines to ingest, transform, and index customer data for AI agents;
• Integrate with LLM providers and frameworks like LangChain and LangGraph to deliver context-aware capabilities;
• Pull and process analytics data from customer warehouses such as Snowflake, BigQuery, and Databricks;
• Own projects end-to-end from architecture and technical design to implementation, deployment, and maintenance;
• Collaborate with product and AI teams to improve retrieval quality and agent performance;
• Optimize retrieval pipelines for latency, relevance, and cost efficiency;
• Uphold a culture of high efficiency, creativity, and quality.

• Degree in Computer Science, Engineering, or a related field;
• 10+ Years of engineering experience;
• Strong proficiency in Python;
• Proficiency in at least one cloud environment (GCP, AWS, Azure);
• Proven track record in a high-paced startup environment;
• Self-sufficiency across the stack and experience with containerized environments (Docker, Kubernetes);
• Nice to have: Background in building enterprise SaaS integrations or source connectors, hands-on experience with search technologies (Elasticsearch, vector databases), understanding of embeddings, semantic search, and RAG patterns, experience with data pipelines and ETL/ELT workflows, familiarity with data warehouse platforms, experience with LLM APIs and agent frameworks in production, knowledge of chunking strategies, re-ranking models, and hybrid retrieval, experience in search or data engineering, familiarity with data governance and multi-tenant architectures, contributions to open-source search or retrieval projects, experience with production systems for enterprise customers.

• No conditions specified