🕒 April 28
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• Architect and ship production AI/ML systems — you write code, not just review it • Own the AI roadmap end-to-end: prioritization, trade-offs, delivery • Set technical standards for model quality, evals, observability, and reliability • Drive adoption of agentic coding tools to multiply team velocity • Partner with Platform Engineering on infrastructure, data pipelines, and APIs • Manage a distributed team of 8–10 engineers across Data and ML disciplines • Hire, develop, and retain engineers at all levels; build a high-trust remote culture • Partner with Product on roadmap sequencing and scope trade-offs • Communicate AI capabilities and limitations clearly to non-technical stakeholders • Own model performance metrics and drive continuous improvement pipelines
• Production agentic pipelines using frontier models • Anthropic SDK · OpenAI SDK · tool use, function calling, multi-agent orchestration • Reliable agent loop design — planning, memory, tool execution, error recovery • RAG pipeline design — chunking, embedding models, retrieval tuning, reranking • Evals frameworks built from scratch — correctness, regression, semantic similarity • Observability for production AI — tracing, cost tracking, latency, failure analysis • Fine-tuning frontier or open-source models for domain-specific tasks • LoRA, QLoRA, instruction tuning — not just off-the-shelf API calls • Training data collection, curation, cleaning, and labeling at scale • LLM inference and serving optimization • Hands-on Python — comfortable writing, reviewing, and shipping production code • PostgreSQL — schema design, query optimization, indexing strategies • Distributed systems — async workers, queues, retries, state machines • Public-facing API design — REST, versioning, developer experience • AWS or cloud infrastructure — enough to own AI workload deployments
• Compensation: 200,000-225,000 + 15% Annual Bonus • Competitive salary based on skills & experience. • Medical, Dental, Vision and other Company-Subsidized Benefits for you and your family. • Employer sponsored 401(k) with company match. • Paid Time Off (and the encouragement to use it). • Annual company retreats. • Promote from within philosophy. • Easier to solve difficult problems creatively and with agency.
Apply Now🕒 April 27
Principal AI Architect defining AI strategy for engineering workflows at Mainspring Energy. Leading the transition to embedded AI agents in development cycles to drive efficiency and innovation.
🕒 April 27
AI/ML Architect at NewRocket developing and maintaining AI solutions for global clients using advanced technologies. Collaborate with teams to implement innovative AI applications and drive business outcomes.
🕒 April 26
Drive AI engineering strategy and develop scalable AI solutions for Sedgwick’s claims and risk management. Build and mentor a high-performing AI engineering organization for enterprise impact.
🕒 April 21
AI/ML Engineer at Trellis Law working on scalable architecture for large data sets. Leveraging AI/ML for impactful legal data analysis.
🇺🇸 United States – Remote
💵 $150k - $200k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🤖 AI Engineer
🦅 H1B Visa Sponsor
🕒 April 21
AI & Cloud Architect at SCAN defining architecture for AI and automation capabilities and ensuring high standards of governance. Innovating solutions across Azure platforms for better community health outcomes.
🇺🇸 United States – Remote
💵 $147.9k - $254.8k / year
⏰ Full Time
🔴 Lead
🤖 AI Engineer
🦅 H1B Visa Sponsor