
201 - 500 employees
Founded 1996
đź’Ľ Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Redapt, Inc. is an end-to-end technology solutions provider that helps organizations optimize their performance and reduce operational costs through expert guidance in areas such as Artificial Intelligence, Machine Learning, Cloud Adoption, Data Analytics, and Cybersecurity. With over 26 years of experience, Redapt partners with leading technology companies to deliver tailored solutions, supporting clients in application modernization, enterprise infrastructure, and multi-cloud operations. The company is committed to empowering businesses to overcome technological challenges and unlock growth through innovative technology integration.
🔥 0 minutes ago
🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
đźź Senior
👷🏻‍♀️ Engineer
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201 - 500 employees
Founded 1996
đź’Ľ Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Redapt, Inc. is an end-to-end technology solutions provider that helps organizations optimize their performance and reduce operational costs through expert guidance in areas such as Artificial Intelligence, Machine Learning, Cloud Adoption, Data Analytics, and Cybersecurity. With over 26 years of experience, Redapt partners with leading technology companies to deliver tailored solutions, supporting clients in application modernization, enterprise infrastructure, and multi-cloud operations. The company is committed to empowering businesses to overcome technological challenges and unlock growth through innovative technology integration.
• Embed directly with client teams to design, build, and ship production applications and integrations built on Claude models • Write and maintain production-quality Python code for AI integrations, agent workflows, and internal tooling • Set up and configure agentic harnesses, including Azure Foundry, AWS Bedrock, and Claude Cowork-style deployments • Codify repeatable deployment patterns from client engagements and feed them back to the broader team • Present findings, architecture options, and recommendations directly to client stakeholders • Translate technical concepts for technical and non-technical audiences • Build trusted relationships with client technical and business stakeholders throughout engagements • Assess existing AI workloads and identify opportunities to improve ROI through architecture, tooling, or workflow redesign • Advise on token optimization and model selection to control cost and improve performance • Evaluate and tune model configuration and prompting strategy to improve output quality and reliability • Identify AI security considerations and incorporate them into deployment recommendations
• 3+ years in a technical, client-facing role such as forward deployed engineering, solutions engineering, or consulting with a software engineering background • Strong Python skills, with experience shipping production code, not just prototypes or notebooks • Hands-on production experience with LLMs, including agent development, evaluation, and deployment at scale • Demonstrated ability to communicate clearly and credibly with clients, including in live, in-person settings • Working knowledge of Azure Foundry, AWS Bedrock, OpenAI/Codex, and the Anthropic/Claude platform • Comfort operating with ambiguity and owning a technical engagement end-to-end • Preferred: experience with evaluation frameworks, RAG pipelines, or agent orchestration frameworks such as LangGraph, LangChain, and CrewAI • Preferred: familiarity with AI security, privacy, and governance considerations in enterprise environments • Preferred: experience with MLOps/LLMOps practices, including model monitoring and prompt management • Preferred: prior experience specifically with Azure Foundry, AWS Bedrock, or Anthropic's Claude platform • Preferred: background in enterprise IT systems or AI deployment patterns
• Travel typically 5% or less a year • Equal opportunity employment and nondiscrimination protections
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