About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Computer Networking Products, Software Development, Technology, Information and Internet.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Overview

Confidential Client is building next-generation Agentic Search and analytics infrastructure that combines planning, retrieval, reasoning, tool execution, and iterative agentic loops. The team delivers scalable vector + full-text hybrid search solutions for internal products and external customers, contributes to open-source search and retrieval projects, and publishes research while shipping production-grade systems.

This Software Engineer role (Data Agent & Agentic Search) will work on multi-source, multimodal retrieval, semantic layers for heterogeneous enterprise data, and self-improving/data-driven agentic systems. Role is based in Seattle, WA.

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What You’ll Do

• Build Agentic Search and Analytics systems that combine planning, retrieval, reasoning, tool execution, and iterative agentic loops.
• Implement multi-source, multimodal search across structured data, documents, images, audio, and video.
• Design and build a unified semantic layer to represent entities, metrics, metadata, and relationships across heterogeneous enterprise data.
• Research and prototype semantic accumulation and self-evolving agents that improve via interactions, feedback, memory, and historical executions.
• Collaborate with researchers and engineers to productionize retrieval-augmented generation (RAG), vector search, and multimodal retrieval features.
• Contribute to architecture and code for large-scale distributed search and vector database systems and integrations with engines like Elasticsearch/OpenSearch and Milvus.

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Minimum Qualifications

• B.S. in Computer Science, AI, Machine Learning, or a related field.
• Strong coding, data structures, and algorithms skills; proficient in one or more of: Python, Java, C++, Golang.
• Familiarity with LLMs, agents, search, RAG, information retrieval, or machine learning.
• Strong problem-solving, learning agility, and communication skills.

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Preferred Qualifications

• Hands-on experience with agentic search, data agents, RAG, or AI search (research, internships, projects).
• Familiarity with Elasticsearch, OpenSearch, Milvus, Faiss, Qdrant, or similar retrieval systems.
• Experience implementing tool-calling, memory, planning, or agent evaluation frameworks.
• Background in semantic layers, knowledge graphs, multimodal retrieval, or large-scale data processing.
• Experience building production distributed systems that serve high-throughput retrieval workloads.

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Compensation & Benefits

• Base salary range for this position in the selected city: $153,900 - $300,960 annually.
• Total compensation may include discretionary bonuses/incentives and restricted stock units where applicable.
• Benefits (may vary by country/location) typically include day-one medical, dental, and vision; 401(k) with company match; paid parental leave; disability and life insurance; wellbeing benefits; paid holidays, sick days, and paid personal time with accruals by tenure.

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Working Environment & Inclusion

Confidential Client values a pragmatic, ambitious engineering culture that balances research and real-world impact. The team collaborates globally with open-source communities; candidates who share a passion for building production systems, contributing to open-source, and advancing search/AI research are encouraged to apply.

Confidential Client is committed to providing reasonable accommodations in recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected reasons. If you need assistance or a reasonable accommodation during the hiring process, please notify the recruiter.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.