# Sr Engineer – Context Intelligence (AI Platform) **Company**: Target **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $98,000.00 - $176,000.00 **Category**: Engineering **Industry**: Technology **Apply**: https://target.wd5.myworkdayjobs.com/en-US/targetcareers/job/7000-Target-Pkwy-NNCD-0375-Brooklyn-ParkMN-55445/Sr-Engineer---AI-Platforms---Context-Intelligence--API-s--search--information-retrieval--agentic-workflows-_R0000475097?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_3f8161c0-c02 ## Description We are seeking a Senior Engineer – AI Platforms, Context Intelligence to join our team. As a Senior Engineer, you will be part of a team building the enterprise context and knowledge foundation that enables AI applications and agents to access, retrieve and reason over trusted enterprise information. You will operate at the intersection of AI engineering, information retrieval, search, knowledge systems, and distributed platform engineering. You will design and build scalable context services that enable semantic and hybrid retrieval, grounding, memory, enterprise knowledge access, and high-quality AI experiences. Key responsibilities: - Design, build, and operate scalable retrieval and context services that enable AI applications and agents to access trusted enterprise knowledge. - Build semantic, hybrid, and enterprise search capabilities using modern information retrieval techniques, embeddings, vector databases, indexing, and search infrastructure. - Develop retrieval-augmented generation (RAG) and grounding patterns that improve the relevance, quality, and trustworthiness of AI responses. - Build memory and context-management capabilities for conversational and agentic systems, including short- and long-term context and agent memory patterns. - Design and implement enterprise knowledge ingestion, content indexing, metadata, synchronization, and connector capabilities that keep knowledge accessible and fresh. - Build context orchestration services that select, assemble, and optimize the information supplied to AI applications and agents. - Develop retrieval observability and diagnostics, including grounding quality, retrieval quality, search metrics, freshness, performance, and operational health. - Apply strong distributed systems and platform engineering principles to build reliable, scalable, secure, and maintainable stateful services and indexing systems. - Design and operate containerized services on Kubernetes and contribute to resilient, multi-region architectures for enterprise-scale context and knowledge workloads. - Evaluate emerging retrieval, RAG, GraphRAG, knowledge graph, semantic technology, and enterprise search approaches through research and proof-of-concept activities. - Lead code reviews, design reviews, testing, debugging, performance optimization, and architecture discussions while maintaining high engineering and operational standards. - Partner with AI platform, application engineering, product, architecture, and data teams to understand context needs and translate them into reusable platform capabilities. - Diagnose complex retrieval, indexing, grounding, memory, and production issues, identify systemic causes, and develop solutions that prevent repeat occurrences. - Share technical patterns and best practices and help engineering teams successfully adopt Context Intelligence platform capabilities. Requirements: - 4-year degree or equivalent experience - 5+ years of software development experience with strong hands-on engineering and programming skills - Strong experience designing, building, testing, deploying, and operating production-grade applications, platform services, or distributed systems - Experience with information retrieval, search architecture, RAG, embeddings, vector databases, or related context and knowledge technologies - Strong proficiency in one or more modern programming languages and experience developing APIs, services, and data-intensive systems - Experience building or integrating semantic search, hybrid search, retrieval services, indexing pipelines, or enterprise search capabilities - Understanding of memory systems, context management, grounding, and retrieval patterns for LLM-powered or agentic applications - Strong understanding of distributed systems, stateful services, scalability, reliability, performance, security, and production operations - Experience with Kubernetes, containers, CI/CD, observability, testing, debugging, and operational monitoring - Experience with search infrastructure, distributed indexing, metadata systems, knowledge ingestion, or enterprise data connectors - Ability to take ambiguous requirements, understand the context needs of AI systems and translate them into concrete technical designs and working software - Demonstrated ability to evaluate retrieval and system tradeoffs across relevance, latency, freshness, scale, reliability, and cost - Strong problem-solving skills with the ability to diagnose complex retrieval, indexing, and operational issues and eliminate repeat occurrences - Experience collaborating with platform, product, application engineering, architecture, and data teams across organizational boundaries - Ability to communicate complex technical concepts clearly, influence design decisions, mentor engineers, and raise engineering standards within a team - Maintains technical knowledge within areas of expertise and stays current with evolving retrieval, knowledge, AI, and platform technologies through formal training and self-directed learning ## Skills ### Required - AI engineering - information retrieval - search architecture - knowledge systems - distributed platform engineering - semantic search - hybrid search - embeddings - vector databases - indexing - search infrastructure - Kubernetes - containers - CI/CD - observability - testing - debugging - operational monitoring --- Source: [Apply at target.wd5.myworkdayjobs.com](https://target.wd5.myworkdayjobs.com/en-US/targetcareers/job/7000-Target-Pkwy-NNCD-0375-Brooklyn-ParkMN-55445/Sr-Engineer---AI-Platforms---Context-Intelligence--API-s--search--information-retrieval--agentic-workflows-_R0000475097?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)