Associate Engineer - AI @ ZS
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About ZS
ZS is a management consulting and technology firm dedicated to transforming ideas into impact. Working with data, science, technology, and human ingenuity, ZS designs life-changing solutions for patients, caregivers and consumers worldwide.
Role Overview: Associate Engineer - AI
The Associate Engineer - AI (LLM Engineer) role is ideal for candidates with 1-4 years of software development experience and 1-2 years in LLM solution development. You will work on designing scalable, distributed software systems and LLM-based pipelines using modern cloud and DevOps tools.
What You’ll Do
- Architect and develop scalable, distributed software systems.
- Translate business requirements into technical solutions.
- Design, develop and deploy LLM based pipelines including RAG, agentic workflows and more.
- Utilize AWS, Azure, and Databricks cloud services.
- Implement DevOps practices using Docker, Kubernetes, and automation scripts.
- Collaborate with cross-functional teams and conduct code reviews.
What You'll Bring
- Bachelor’s degree in Computer Science or related field (or equivalent experience).
- 1-5 years experience in software development with LLM application expertise.
- Strong Python and Javascript skills with experience in API frameworks.
- Proficiency with cloud platforms (AWS, Azure, Databricks) and DevOps tools.
- Knowledge in LLM patterns (RAG, Vector DB, prompt engineering) and LLM APIs.
- Experience with Agile/Scrum and full software development lifecycle.
Work Arrangement & Culture
This role follows a hybrid working model. ZSers work on-site three days a week with an option to work remotely for two days, combining flexibility with in-person collaboration.
Perks & Benefits
ZS offers a comprehensive rewards package including health, financial planning, career and personal development, and various programs to empower growth.
Travel
Client-facing roles require business travel as needed to strengthen client relationships and enhance professional growth.
Diversity & Inclusion
At ZS, diversity is a strength. The company values individual differences and is committed to providing equal opportunity for all employees.
Application Process
Candidates must have or obtain work authorization. An online application along with transcripts is required. No agency calls, please.
Key skills/competency
- Python
- LLM
- Cloud
- DevOps
- Architecture
- RAG
- Agentic workflows
- Agile
- Terraform
- Security
How to Get Hired at ZS
🎯 Tips for Getting Hired
- Customize Your Resume: Tailor your skills and experiences to ZS requirements.
- Highlight Cloud Expertise: Emphasize AWS, Azure, and Databricks projects.
- Showcase LLM Projects: Detail your work with RAG and LLM pipelines.
- Prepare for Technical Reviews: Practice coding and system design questions.
- Research ZS Culture: Understand their mission and client-first approach.