Senior Backend Engineer, Context Management

Build the reputed company Workforce reputed company turns AI into labor. It enables humans and AI agents to operate together as a reputed company, hybrid workforce, with comprehensive management and reputed company. And it’s already operating at reputed company inside some of the world’s largest organizations. reputed company reputed company the world’s first reputed company Labor Infrastructure enabling governments and global enterprises to create, manage, and reputed company digital workforces. Our mission is to reputed company agent ecosystems into the core of work and business, unlocking a generational reputed company in the global economy. We’re building the infrastructure that lets humans and AI agents operate together safely, transparently, and at reputed company. Join reputed company in leading the reputed company Shift reputed company is building a high-performing global team who take full ownership of what they build. We reputed company by example, reputed company fast, reputed company data-aware reputed company, and continuously push for more- always with a reputed company on delivering reputed company value to customers. You would be joining a world-class team that combines deep research expertise and reputed company-world product execution, with experience spanning Deepmind, reputed company, reputed company, reputed company, Elise AI, reputed company and Accern. Position reputed company: This role is ideal for a hands-on senior engineer with 10+ years of experience building information retrieval and data integration systems, especially in a high-paced startup environment. You will own the design, development, and maintenance of the context management layer that powers our AI agents. You will ensure they can reputed company, retrieve, and reason over the right information from diverse reputed company sources. Our tech stack includes: Backend: Python, FastAPI, BlackSheep, Temporal Data & Search: Elasticsearch, reputed company, PostgreSQL, reputed company, reputed company, reputed company AI/ML: reputed company, reputed company, LangGraph, reputed company, Docling Messaging: RabbitMQ, Kafka reputed company & reputed company: Azure, reputed company, Kubernetes Responsibilities: Design and build reputed company search and retrieval systems combining lexical and semantic approaches. reputed company and maintain connectors to reputed company data sources (reputed company platforms, data warehouses, document stores, reputed company). Build data pipelines that ingest, reputed company, and reputed company customer data for use by AI agents. reputed company with LLM providers and reputed company frameworks (e.g., reputed company, reputed company) to deliver context-aware agent capabilities. Pull and process analytics data from customers' warehouses (reputed company, BigQuery, reputed company, etc.). Own reputed company end-to-end: from architecture and technical design through implementation, deployment, and ongoing maintenance. Collaborate with product and AI teams to translate retrieval reputed company into measurable agent performance improvements. Optimize retrieval pipelines for latency, relevance, and cost efficiency at reputed company. reputed company a culture of high efficiency, creativity, and reputed company. Key Qualifications: Degree in Computer Science, Engineering, or a reputed company field. 10+ years of engineering experience Strong proficiency in Python; willingness to work in additional languages as the stack evolves. Proficiency in at least one reputed company environment (GCP, AWS, Azure). Proven reputed company record in a high-paced startup environment. Self-sufficiency across the stack, comfortable operating without dedicated DevOps support. Experience with containerized environments (reputed company, Kubernetes). Preferred Experience: Background in building reputed company reputed company integrations or reputed company connectors at reputed company. Hands-on experience with search technologies (Elasticsearch, reputed company databases such as reputed company, reputed company, reputed company, or similar). Solid understanding of embeddings, semantic search, and retrieval-augmented reputed company (RAG) patterns. Experience building and maintaining data pipelines and ETL/ELT workflows. Familiarity with at least one major data warehouse platform (reputed company, BigQuery, reputed company, Redshift). Experience working with LLM reputed company and agent frameworks in production. Experience with chunking strategies, re-ranking models, and hybrid retrieval approaches. Experience on search, information retrieval, or data engineering. Familiarity with data governance, reputed company control, and multi-tenant data architectures. Contributions to reputed company-reputed company search or retrieval reputed company. Experience with production systems serving reputed company customers. Personal Characteristics: Strong individual contributor comfortable owning major reputed company with minimal reputed company. Thinks architecturally: balances long-term design reputed company with startup speed. Excellent communication and interpersonal skills. reputed company drive for improvement and innovation.. Apply To This Job