Senior AI Enablement Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Enablement Engineer (AI/Platform): Building and scaling an internal AI-first engineering ecosystem to optimize the developer lifecycle with an accent on LLM integration, cost governance, and automated AI workflows. Focus on designing reusable patterns for code generation, implementing AI guardrails, and managing cloud-native AI infrastructure.
Location: Remote (Must be based in the United States)
Company
is a digital innovation and enterprise AI services provider helping startups and enterprises solve complex challenges using AI.
What you will do
- Establish AI-first culture via internal playbooks and golden-path templates, measuring success through DORA and SPACE metrics.
- Implement AI cost management, token budgeting, and security guardrails including PII redaction and audit logging.
- Develop and document reusable patterns for AI-assisted code generation, PRs, testing, and debugging.
- Conduct POCs for AI tools and provide recommendations based on ROI and technical merit.
- Manage AWS infrastructure, including API Gateways and LLM pipelines, integrated with GitLab CI/CD.
Requirements
- 8+ years of experience in platform engineering, DevOps, or developer experience.
- Hands-on production experience with LLM APIs and AI developer tooling.
- Proficiency in Python for automation and AI workflow integration.
- Strong experience with AWS (Bedrock, API Gateway) and IaC (Terraform, Helm).
- Experience in AI tool governance, vendor assessment, and cost management.
- Must be based in the United States
Nice to have
- Experience with LLM Agents, RAG pipelines, and vector databases (pgvector, Pinecone, etc.).
- Knowledge of prompt orchestration frameworks like LangChain or LlamaIndex.
- Background in financial services or insurance compliance regarding AI data handling.
- Expertise in AI security threat models, including OWASP Top 10 for LLMs.
Culture & Benefits
- Entrepreneurial spirit promoting self-reliance, open communication, and collaboration.
- Access to advanced training to ensure professional success.
- Proactive work environment that thrives on challenges and ownership.
- Opportunity to work with a global digital talent pool on complex problem-solving.
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