Artificial Intelligence Engineer

Title: DevOps Engineer

Location: 1 DNA Way South San Francisco California 94080 United States

Duration: 12+ Months

The Opportunity

An experienced full stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor

Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice.

Someone with experience in the automation and speed up of the software development lifecycle.

Someone who brings additional skills to the software development process like test automation, deployment maintenance, or ML model deployment/monitoring.

Minimum Requirements

• Bachelors or master’s degree in computer science, Engineering, Mathematics, or a related field.
• Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web framework in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
• 2+ years’ experience with front-end frameworks (preferably Vue.js
• 2+ years of developing and deploying AI/ML solutions or applications
• Experience designing and developing RESTful APIs (with e.g. Python FastAPI).
• Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes
• 3+ years of DevOps experience with cloud platforms, specifically AWS (EKS, RDS, EC2).
• Experience with caching and data store technologies like Redis.
• Experience with CI/CD pipelines and automation tools (GitLab CI, GitHub Actions)
• Proficiency in Infrastructure as Code tools (Terraform, CloudFormation) and GitOps (Argo CD).
• Experience with monitoring and observability tools (Portkey, Prometheus, Grafana, ELK stack)
• Experience with cloud data warehousing / analytics platforms (e.g., Snowflake, BigQuery, Redshift).
• Knowledge of system administration, particularly with Linux.
• Experience with security best practices and compliance frameworks.
• Strong incident management and root cause analysis skills
• Familiar with Agile methodologies
• Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges.
• Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Extensive experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake).
• Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)

Preferred Qualifications

• Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar.
• Experience with microservices architecture and managing distributed systems
• Experience with DevSecOps practices and security scanning tools.
• Experience with database administration and management, including performance tuning, backups, and disaster recovery.
• Experience with cloud cost optimization strategies, performance engineering, and application optimization
• Experience with test automation e.g. Playwright
• Familiarity with CRDT technologies like Yjs
• Experience with using NLP/LLMs on clinical text.
• Basic knowledge of clinical drug development