Note: The job is a remote job and is open to candidates in USA. Acunor is seeking an AI Engineering Manager / Lead AI Engineer to lead a central AI platform team and multiple delivery pods in an AWS-native environment using Amazon Bedrock. The role combines engineering leadership with hands-on technical oversight of AI architectures, prompts, evaluation suites, code quality, production readiness, staffing, and team effectiveness.
Responsibilities
- Manage engineers across the central AI platform team and delivery pods, including internal employees and contractors
- Own engineering quality standards across AI/LLM applications, agents, integrations, and supporting services
- Establish and enforce code review practices, agent quality standards, Definition of Done, and production-readiness criteria
- Manage engineering performance, coaching, staffing, and contractor performance
- Partner with platform leadership to establish and drive adoption of reusable templates, CI/CD pipelines, evaluation harnesses, and guardrail patterns
- Review AI agent architectures built using Amazon Bedrock, including Bedrock Agents, Knowledge Bases, Guardrails, and foundation-model selection
- Provide technical leadership across LLM agents, RAG, prompt/context engineering, evaluation frameworks, and production AI architectures
- Unblock engineering teams and help delivery pods maintain a fast development and release cadence
- Stay technically hands-on through code reviews, prompt reviews, evaluation-suite reviews, technical problem solving, and occasional coding
- Maintain consistent engineering and production-quality standards across multiple delivery teams
Skills
- 8+ years of software engineering experience
- 3+ years managing engineers delivering AI/ML or LLM systems into production
- Experience managing blended engineering teams consisting of contractors and full-time employees
- Strong hands-on understanding of LLM-powered agents, RAG, tool/function calling, and production GenAI applications
- Ability to review agent architectures, prompt/context engineering implementations, and LLM evaluation suites
- Working knowledge of AWS cloud services and modern AI/LLM application architectures
- Ability to ramp quickly on Amazon Bedrock , including Bedrock Agents, Knowledge Bases, and Guardrails
- Strong engineering leadership combined with a hands-on player-coach mentality
- Comfortable operating in a fast-moving and relatively flat engineering organization
- Ability to work full Pacific Time (PST/PDT) business hours
- Direct production experience with Amazon Bedrock, Amazon SageMaker, or the broader AWS AI/ML ecosystem
- Healthcare or regulated-industry experience, including exposure to HIPAA, PHI handling, or clinical workflows
- Experience scaling an engineering organization from fewer than 10 engineers to 30+ engineers
Benefits
- Remote work — United States only
- Long-Term Contract
Company Overview
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