🕒 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.
Apache
AWS
Azure
Cloud
ETL
MongoDB
MySQL
Numpy
Pandas
Postgres
Python
PyTorch
Scikit-Learn
Spark
SQL
Tableau
Tensorflow
🕒 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.
Cloud
Cyber Security
Distributed Systems
Microservices
🕒 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
Python
🕒 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
Azure
Cloud