Forward Deployed Engineer
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Job Description
Forward Deployed Engineer building and deploying agentic AI systems for Redapt clients. Writing production Python and advising on model optimization, security, and ROI.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- Travel typically 5% or less a year
- Equal opportunity employment and nondiscrimination protections
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