Senior AI/ML Engineer

📋 Description

• Design, build, and deploy GenAI/ML platform components at scale
• Create enterprise-grade AI/ML systems for internal workflows and external platforms
• Implement agentic architecture, RAG, vector search, memory services, LLMOps
• Build production-ready GenAI and MLOps platforms with reusable deployables
• Establish standards and best practices for organization-wide AI/ML development

🎯 Requirements

• 8+ years in software/ML engineering; 5+ years at scale
• Production ML/LLM systems on AWS: Python, TensorFlow, PyTorch, Spark
• GenAI/LLMs: fine-tuning, RAG, prompt orchestration, guardrails, monitoring
• RAG: embeddings, vector DBs, retrieval policies
• Agentic AI platforms: LangChain, LlamaIndex, CrewAI, Semantic Kernel
• Data-intensive, distributed architectures, cloud-native development
• Compliance-first engineering in healthcare/biotech
• Influence across teams, mentor engineers, set technical standards

🎁 Benefits

• Competitive medical, dental, vision, life and disability coverage
• Free cfDNA testing for employees and fertility care benefits
• Parental leave and family bonding leave
• 401k benefits and commuter benefits
• Employee referral program