Senior Data Engineer – Retrieval, RAG Platform

Job not on LinkedIn

🔥 5 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Solvd, Inc.'s careers page ↗Solvd, Inc.'s careers page, not through a job board

First seen by Remote Rocketship 5 minutes ago

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Logo of Solvd, Inc.

Solvd, Inc.

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

📋 Description

• Stand up the Bedrock Knowledge Base and OpenSearch Serverless vector collection in the client’s account using infrastructure code • Configure embedding model, chunking strategy, and metadata fields • Implement hybrid vector and keyword retrieval with taxonomy, source, status, and review-date metadata filtering • Tune top-k, score thresholds, and reranking against the golden question suite • Build a versioned retrieval API on API Gateway and Lambda • Implement authentication, per-client rate limits, usage metrics, structured errors, and citation payloads • Enforce entitlement filtering at query time so restricted passages are not returned to unauthorized callers • Provide the Bedrock retrieve-and-generate reference endpoint for pilot validation • Build a quality dashboard covering relevance, grounding, citation scores, permission tests, freshness lag, API latency and errors, and OpenSearch capacity • Support the contact center pilot by capturing retrieval misses, tuning, and rerunning the evaluation suite • Write retrieval and API runbooks covering model changes, re-embedding, index rebuilds, and cost implications • Pair with client platform owners and hand over on the transition readiness checklist

🎯 Requirements

• 4+ years as a software or ML engineer • At least one RAG or enterprise search system delivered to production and measured with an evaluation suite • Hands-on experience with Amazon Bedrock Knowledge Bases, Retrieve and RetrieveAndGenerate APIs, and embedding models • Experience with Amazon OpenSearch Serverless vector search, hybrid queries, and metadata filters • Python experience • Experience shipping Lambda-based APIs behind API Gateway, including authentication, versioning, and throttling • Infrastructure-as-code experience with Terraform or AWS CDK • CI experience for deployment into a client-owned account • Practical understanding of chunking, embedding model selection, reranking, and relevance, latency, and cost trade-offs • Experience building operational dashboards in CloudWatch or an equivalent tool • English proficiency required by the application form • Legal right to work in the country where the role is based required by the application form

🏖️ Benefits

• Equal opportunities for collaboration across continents and cultures • Inclusive environment prioritizing continuous learning, innovation, and ethical AI standards

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