Senior Engineer - Large Language Model Engineer

ZS

Bengaluru

Hybrid

INR 800,000 - 1,200,000

Full time

14 days+

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Benefits offered by this job

Comprehensive total rewards package
Skills-building programs
Career progression paths
Flexible working model

Job summary

ZS is seeking an Associate Consultant in Bengaluru to enhance client value using AI solutions. The role involves collaboration with clients, implementing technical features, and ensuring high-quality deliverables. Candidates must have a strong Computer Science foundation and at least 2 years of experience in a relevant field. Proficiency in distributed computing frameworks, programming languages, and cloud services is essential. ZS offers a hybrid working model and a comprehensive rewards package to support well-being and career growth.

Qualifications

  • 2+ years of relevant hands-on experience.
  • Strong command over a distributed computing framework.
  • Ability to quickly learn and become hands-on with new technology.

Responsibilities

  • Collaborate with client-facing teams to understand solution context.
  • Design and implement technical features leveraging best practices.
  • Write production-ready code that is easily testable and understood.

Skills

Distributed computing frameworks (Spark)
Analytical and problem-solving skills
Programming languages (Python, Java, Scala)
Data management solutions
Cloud services (AWS, Azure, GCP)
RDBMS and ETL
Fluency in English

Education

Computer Science foundation

Tools

AWS Solutions Architect
CI/CD tools
Data modeling tools

Job description

Technology Group

ZS’s Scaled AI practice is part of ZS’s rich and advanced AI ecosystem. In the Associate Consultant role you’ll focus on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities.

Being part of the Scaled AI practice allows you to collaborate with data scientists to create state‑of‑the‑art AI models, build and deploy advanced ML pipelines, and manage the complete ML lifecycle.

What you’ll do
  • Collaborate with client‑facing teams to understand solution context and contribute to technical requirement gathering and analysis.
  • Design and implement technical features leveraging best practices for the technology stack being used.
  • Work with technical architects on the team to validate design and implementation approach.
  • Write production‑ready code that is easily testable, understood by other developers, and accounts for edge cases and errors.
  • Ensure the highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews.
  • Write unit tests as well as higher‑level tests to handle expected edge cases and errors gracefully, as well as happy paths.
  • Use bug tracking, code review, version control, and other tools to organize and deliver work.
  • Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies.
  • Consistently contribute to researching and evaluating the latest technologies through rapid learning, conducting proof‑of‑concepts, and creating prototype solutions.
What You’ll Bring
  • 2+ years of relevant hands‑on experience.
  • CS foundation is a must.
  • Strong command over a distributed computing framework like Spark (preferred) or others.
  • Strong analytical and problem‑solving skills.
  • Ability to quickly learn and become hands‑on with new technology and be innovative in creating solutions.
  • Strong in at least one programming language—Python, Java, Scala, etc.—and programming basics: data structures.
  • Hands‑on experience building modules for data management solutions such as data pipelines, orchestration, ingestion patterns (batch, real‑time).
  • Experience designing and implementing solutions on distributed computing and cloud services platforms (AWS, Azure, GCP).
  • Good understanding of RDBMS, with some experience in ETL is preferred.
  • Fluency in English.
  • Client‑first mentality.
  • Intense work ethic.
  • Collaborative spirit and problem‑solving approach.
Additional Skills
  • Understanding of DevOps, CI/CD, data security, and experience designing on cloud platforms.
  • AWS Solutions Architect certification with an understanding of the broader AWS stack.
  • Knowledge of data modeling and data warehouse concepts.
  • Willingness to travel to other global offices as needed to work with clients or other internal project teams.
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.
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, and have the flexibility to work remotely two days a week.

Perks & Benefits

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.

Travel

Travel is a requirement for client‑facing roles; business needs of your project and client are the priority. All client‑facing ZSers should be prepared to travel as needed.

Equal Opportunity Employer

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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