about 3 hours ago
Base Salary
$126k - $157k/yr
Responsibilities
- Design and implement foundational GenAI services such as vector search and document extraction.
- Build infrastructure for autonomous AI agents enabling continuous context-aware execution.
- Create standardized APIs/SDKs for deploying Generative AI workloads.
- Ensure platform components meet enterprise-grade requirements for scalability and efficiency.
- Implement cloud-native infrastructure for large-scale model training and serving.
- Integrate observability tools for real-time performance monitoring of AI outputs.
- Embed compliance-by-design for handling sensitive data and implementing safety guardrails.
- Establish technical standards and mentor junior engineers.
Requirements
- 5+ years in software/ML engineering, with 3+ years in ML engineering at scale.
- Expertise in building production-grade ML/LLM systems on AWS tech stack.
- Proven track record with GenAI/LLMs including fine-tuning and monitoring.
- Hands-on experience with RAG systems and LLM runtime operations.
- Experience building agentic AI platforms and knowledge of distributed architectures.
- Strong grounding in compliance-first engineering in healthcare or biotech preferred.
- Excellent ability to influence across teams and set technical standards.
Benefits
- Comprehensive medical, dental, vision, life, and disability plans for employees and dependents.
- Free testing for employees and their immediate families, along with fertility care benefits.
- Pregnancy and baby bonding leave, 401k benefits, and commuter benefits.
- Generous employee referral program.