Senior Backend Engineer, Context Management

🔥 28 minutes ago

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Wand AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Wand AI is an enterprise software company (Wand Synthesis AI Inc. ) that builds the “Agentic Labor Infrastructure” to enable governments and large enterprises to create, manage, and scale hybrid workforces composed of humans and autonomous AI agents. Their platform (branded Wand OS / Agentic Workforce Technology) provides management, oversight, interoperability across systems, security options (SOC2-ready, on‑premise/private cloud/hosted), dashboards, decision tracking, and tools for deploying and governing agentic workflows at scale. Wand positions itself as a B2B/enterprise provider that turns AI into operational labor for regulated and large-scale organizations.

📋 Description

• Design and build scalable search and retrieval systems combining lexical and semantic approaches. • Develop and maintain connectors to enterprise data sources (SaaS platforms, data warehouses, document stores, APIs). • Build data pipelines that ingest, transform, and index customer data for use by AI agents. • Integrate with LLM providers and related frameworks (e.g., LangChain, LlamaIndex) to deliver context-aware agent capabilities. • Pull and process analytics data from customers' warehouses (Snowflake, BigQuery, Databricks, etc.). • Own projects end-to-end: from architecture and technical design through implementation, deployment, and ongoing maintenance. • Collaborate with product and AI teams to translate retrieval quality into measurable agent performance improvements. • Optimize retrieval pipelines for latency, relevance, and cost efficiency at scale. • Uphold a culture of high efficiency, creativity, and quality.

🎯 Requirements

• 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, comfortable operating without dedicated DevOps support. • Experience with containerized environments (Docker, Kubernetes).

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off