Senior AI Engineer

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $95k - $209k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 5%

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Rearc

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

Artificial Intelligence • Cloud

Rearc is a boutique, engineering-driven services firm specializing in cloud, data, and generative AI solutions. They are known for their innovation and engineering delivery excellence, empowering small teams to achieve significant results and foster creativity. Rearc offers services such as GenAI quickstart, secure data collaboration, data platform foundation, and cloud platform engineering. Their services are comprehensive and adaptable to meet the specific needs of their clients. Rearc has expertise in building foundational data platform capabilities, cloud governance, and the use of AWS products.

📋 Description

• Design and implement AI agents, including RAG pipelines, orchestration workflows, and tool invocation • Build evaluation frameworks measuring accuracy, latency, cost, and reliability • Implement observability and monitoring across the AI system lifecycle • Integrate multiple AI providers and develop abstraction layers for multi-model architectures • Optimize AI systems for performance, cost, and scalability • Build and deploy AI-powered applications integrated with business workflows • Integrate AI systems into enterprise platforms and APIs • Debug and optimize live production systems • Collaborate with client and internal engineering teams • Participate in implementation-focused technical design discussions

🎯 Requirements

• 4+ years of experience building and deploying AI/ML systems in production • Track record of architecting, building, and successfully shipping AI/ML or software solutions using modern AI-assisted workflows • Strong understanding of AI system evaluation and measurement, including offline metrics, online monitoring, LLM-as-judge processes, regression testing, and cost/latency tracking • Practical judgment in retrieval and agent design trade-offs, including choosing between RAG, agent loops, and workflows • Hands-on experience with LLM platforms such as OpenAI, Anthropic, or Google Vertex, and orchestration/harness patterns • Proficiency in Python • Solid backend engineering skills, including building and deploying APIs, Docker, and cloud-native environments • Strong software engineering fundamentals and production-grade coding ability • Experience with CI/CD pipelines, infrastructure as code, and production observability • Ability to debug and optimize production systems • Strong communication skills and ability to explain technical trade-offs to non-technical stakeholders • Preferred: familiarity with DSPy, MLflow, promptfoo, RAGAS, or similar evaluation tools • Preferred: LLMOps/MLOps experience • Preferred: harness engineering experience with Goose, Pi, Claude Code, or Codex • Preferred: Databricks experience • Preferred: AWS, Azure, or GCP experience • Preferred: FastAPI, Pydantic, PostgreSQL, MySQL, or DuckDB experience • Preferred: Claude SDK or OpenAI SDK experience • Preferred: TypeScript or Go experience • Preferred: mentoring or upskilling experience

🏖️ Benefits

• Bonus opportunity of $9.5K–$20.9K • Remote work arrangement

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