AI & ML Engineer

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🕒 February 26

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Asteri AI, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

☁️ SaaS

🧬 Biotechnology

💰 Seed on 2024-07

Artificial Intelligence • SaaS • Biotechnology

Asteri AI, Inc. is a vertical AI work-orchestration platform designed for Fortune 500 life sciences enterprises and other regulated industries. The platform models task-level workflows (a Work Graph), analyzes tasks to surface AI-augmentation opportunities, and operationalizes execution across humans and AI agents with built-in governance, approvals, and continuous evaluation. Asteri focuses on regulated, cross-functional use cases such as SOP authoring and change control, adverse events monitoring, and clinical trial summarization, delivering a SaaS solution that enables safer, auditable human–AI collaboration.

📋 Description

• Design, build, and operate production-grade AI/ML systems that power Asteri’s orchestration platform • Collaborate closely with backend, platform, and frontend engineers to integrate AI capabilities into scalable, reliable product workflows • Deploy and iterate on LLM-based applications in production, continuously evaluating quality, latency, and cost • Own retrieval and agentic systems (e.g., RAG pipelines, workflow agents, policy-driven logic) end-to-end • Define and run rigorous evaluation and testing for AI systems, including offline experiments and production monitoring • Improve model performance and system behavior over time through experimentation, tuning, and system-level optimizations • Implement strong engineering practices for AI development, including testing, CI/CD, versioning, and rollback strategies • Stay current with advances in applied AI and generative models and translate relevant techniques into practical product improvements • Partner with cross-functional teams to understand product requirements and translate them into robust AI solutions

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience • Strong proficiency in Python and experience building production software • 5+ years of professional experience spanning software engineering and applied AI/ML development • Experience deploying and operating ML or LLM-based systems in production environments • Solid understanding of machine learning fundamentals, model evaluation, and system-level tradeoffs • Experience with cloud-based deployment of ML systems • Strong software engineering skills, including systems design, testing, and performance optimization • Comfortable working independently while collaborating closely with a senior engineering team

🏖️ Benefits

• Competitive compensation with remote-friendly culture • Direct ownership of critical AI systems • Opportunity to shape how AI is safely and effectively deployed alongside humans at scale