Senior AI Engineer

ZS
South San Francisco, United States of America
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
South San Francisco, United States of America

Tech stack

JavaScript
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Software Quality
Code Review
Databases
Continuous Integration
DevOps
Django
Identity and Access Management
Python
Scrum
Systems Development Life Cycle
Redis
Search Technologies
Software Deployment
Software Engineering
Software Systems
Load Balancing
Tailwind
Autoscaling
React
Large Language Models
Prompt Engineering
GIT
Cloudformation
FastAPI
Kubernetes
Information Technology
Front End Software Development
Software Coding
Terraform
Software Version Control
Docker
Databricks

Job description

We are seeking an AI Engineer with experience in software development and LLM solution development,. The ideal candidate will have strong experience working with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc.) cloud platforms (AWS, Databricks and Azure), and DevOps tools. They will be responsible for designing and developing scalable software solutions, leading architecture design, and ensuring the performance and reliability of our systems. What You will Do: * Take ownership of architecture design and development of scalable and distributed software systems.

  • Translate business to technical requirements
  • Own technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation
  • Data driven decision making skills with focus on achieving product goals
  • Design, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows, PEFT (e.g. LORA, QLORA, etc.)
  • Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment.
  • Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.
  • Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output
  • Design, develop and deploy prompt and response guardrails to enable responsible AI requirements
  • Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring.
  • Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.

Requirements

Do you have experience in Version control systems?, Do you have a Bachelor's degree?, Bachelor's degree in computer science, Information Technology, or a related field (or equivalent work experience).

  • Strong coding skills with proficiency in Python and Javascript
  • Experience with API frameworks both stateless and stateful such as Fast API, Django
  • Proficient in cloud platforms, specifically AWS, Databricks and Azure
  • Proficient in Infra-as-Code, esp. focused on developing Terraform scripts and Cloudformation
  • Knowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred
  • Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.
  • Strong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)
  • Hands-on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3).
  • Hands-on experience with Databricks solutions including Unity Catalog.
  • Experience in production deployments involving thousands of users, esp with capabilities like Redis, Vector Search, etc.
  • Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.
  • Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.
  • Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
  • Experience of SDLC and best practices while development
  • Experience with Agile methodology for continuous product development and delivery, Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

Benefits & conditions

Pulled from the full job description

  • Internal mobility program
  • Work from home
  • Opportunities for advancement, * Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Hybrid working model: ZS is committed to a Flexible and Connected way of working. ZSers are onsite at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. :

How you'll grow:

  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.

Hybrid working model:

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

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