EXL Service
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Noida · On-site · 2-5 Yrs · 4 days ago
Business consulting · 10000+ Employees · New York, US
In today’s digital world, data is the most powerful differentiator. Companies that leverage AI to turn data into insights and optimize workflows will be the ones to achieve market dominance. At EXL, we partner with clients using a data and AI-led approach to create services and solutions that reinvent client business models, drive better outcomes, and unlock growth at speed. As a leading data and AI company, we bring together the power of data, AI and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, health, banking, media and retail, among others. Our client relationships are built on a foundation of collaboration, and we’ve been chosen as a data and AI partner by 150 Fortune 1000 / Global 2000 clients including 16 of the top 20 US, UK and AU insurers, nine of the top 15 US and UK banks, and 7 of the top 10 US health care payers. With more than 63,000 employees spanning six continents, we employ one of the largest data science teams in the industry. And we have a proven track record of more than 27 years delivering business services and running complex operations for some of the world’s best-known brands. We drive business forward with data and AI
Hiring: Engineering
What employees say
+ Good Pay & Environment which helps you to stay
− Short bench period and hard to retain talent
More reviews on the company profile.
Interview experience · Senior DevOps Engineer
Interview Rounds 1. Screening: Resume, experience, basic technical, notice period, salary. 2. Technical : GCP/GKE, Kubernetes, Terraform, networking, CI/CD, security, architecture, troubleshooting. 3. Managerial: Leader
Average difficulty · Pune · 1,211 reports
More interview insightsJob description
Overview
Responsibilities: Design, build, and optimize agentic AI systems leveraging LLMs, multi-agent frameworks, tooluse orchestration, retrieval systems, and autonomous workflows to solve complex realworld problems.
Responsibilities
- Develop scalable ML pipelines and infrastructure including data processing, feature engineering, model training/evaluation and deployment using modern ML-Ops practices (Docker, Kubernetes, CI/CD, observability).
- Integrate agents with enterprise tools and APIs enabling autonomous planning, reasoning, and execution chains across cloud platforms, internal systems, and thirdparty services.
- Collaborate crossfunctionally with product, engineering, and domain SMEs to design endtoend intelligent workflows, ensure reliability/safety, and translate business needs into productiongrade agentic solutions.
Qualifications
- Minimum 1 year(s) of experience with LangChain/LlamaIndex
- Minimum 1 year(s) of experience with RAG pipelines and vector databases
- Practical exposure to agentic/LLM systems such as toolcalling, autonomous task execution, workflow orchestration, reasoning chains, prompt engineering, and integrating models with APIs or enterprise systems.
- Strong MLOps & engineering discipline including experience with cloud platforms (Azure/AWS/GCP), containerization (Docker), CI/CD, data pipelines, and deploying ML systems into production environments.
- Problemsolving mindset and crossfunctional communication skills with the ability to translate business requirements into intelligent workflows, run experiments, and iterate quickly in a fast-paced AI environment. .
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Job application FAQ
Last updated 20 September 2026
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- What skills matter for this AI Engineer, India, 2-3 years role at EXL Service?
- This is a mid-level AI Engineer, India, 2-3 years role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.