LLM Engineer - AI Innovation Lab

Posted 2 Hours Ago
Chicago, IL
Hybrid
Mid level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Where passion changes lives
The Role
The Machine Learning Engineering Specialist at ZS will design and implement ML features, collaborate with client teams, write production-ready code, ensure deliverable quality, conduct testing, participate in agile ceremonies, evaluate new technologies, and support project architecture.
Summary Generated by Built In

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS.
Our most valuable asset is our people .
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 part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.
LLM Engineer
What You'll 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 resouce allocation
  • Design, develop and deploy LLM-based pipelines involving patterns like RAG, Agentic workflows, PEFT (e.g., LORA, QLORA, etc.)
  • Be 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, AWK, ACR, etc.
  • Implement DevOps practices using tools like Docker, Kubernetes to enure 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


What You'll Bring

  • Bachelor's degree in computer science, information technology or a related field
  • At least 5+ years of experience in software development with relevant work experience in LLM app development
  • Strong coding skills with proficiency in Python and Javascript
  • Experience with API frameworks both stateless and stateful such as Fast API or Django
  • Data-driven decision making with focus on achieving product goals
  • Experience in implementation of web sockets, gRPC, access management using JWT (Azure AD, IDM preferred)
  • Proficiency in cloud platforms, specifically AWS, Azure or GCP
  • 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, Kuberntes and AWS services (Redshift, RDS, S3)
  • Experience in production deployments involving thousands of users
  • 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
  • Experience wiht Agile methodology for continuous product development and delivery
  • Knowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred


Perks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.
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.
Considering applying?
At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.
To Complete Your Application:
Candidates must possess 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.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com

Top Skills

Deep Learning
Machine Learning

What the Team is Saying

Ash Easwar
Suzanne Boyan
Kristina Sambucci
Callum Brazier
Michelle Lu
Mike Vula
Mina Labib
Judith Kulich
Anna Simon
Rachana Late
The Company
HQ: Evanston, IL
13,000 Employees
Hybrid Workplace
Year Founded: 1983

What We Do

ZS is a management consulting and technology firm that partners with companies to improve life and how we live it. We transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Founded in 1983, ZS has more than 13,000 employees in over 35 offices worldwide.

Why Work With Us

ZS is home to passionate people who embrace innovative thinking, collaboration and a client-first mindset. Welcome to a company where new ideas are celebrated, curiosity is welcomed, learning opportunities are abundant and colleagues become lifelong connections.

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Employees engage in a combination of remote and on-site work.

The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.

Typical time on-site: 3 days a week
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