AI Engineer, India, 2-3 years

EXL Talent Acquisition Team; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

EXL Talent Acquisition Team seeks an AI/ML Engineer to design, build, and optimize agentic AI systems using LLMs and multi-agent frameworks. Responsibilities include developing scalable ML pipelines and ML-Ops infrastructure with Docker/Kubernetes and CI/CD, and integrating agents with enterprise tools and APIs across cloud platforms.

Collaborate with product and engineering to translate business needs into production-grade intelligent workflows while ensuring reliability and safety in a

Qualifications

• 2+ years hands-on Python experience (PyTorch/TensorFlow familiar).
• 1+ year experience with LangChain/LlamaIndex.
• 1+ year experience with RAG pipelines and vector databases.
• Exposure to agentic/LLM systems: tool-calling, autonomous task execution, workflow orchestration, API integrations.

Responsibilities

• Design, build, and optimize agentic AI systems leveraging LLMs and agents.
• Develop scalable ML pipelines and ML-Ops infrastructure (Docker, Kubernetes, CI/CD).
• Integrate agents with enterprise tools and APIs across clouds and internal systems.
• Collaborate cross-functionally to translate business needs into production-grade intelligent workflows.

Skills

Python

PyTorch/TensorFlow

LangChain/LlamaIndex

LLM systems

RAG pipelines

Vector DBs

MLOps

Cloud platforms

Cross-functional comms

Tools

Docker

Kubernetes

CI/CD

Cloud infra

Job description

• Design, build, and optimize agentic AI systems leveraging LLMs, multi-agent frameworks, tool-use orchestration, retrieval systems, and autonomous workflows to solve complex real-world problems.
• 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 third-party services.
• Collaborate cross-functionally with product, engineering, and domain SMEs to design end-to-end intelligent workflows, ensure reliability/safety, and translate business needs into production-grade agentic solutions.

Qualifications

• Minimum 2 year(s) of hands-on experience with Python (comfortable with PyTorch/TensorFlow)
• 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 tool-calling, 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.
• Problem-solving mindset and cross-functional communication skills with the ability to translate business requirements into intelligent workflows, run experiments, and iterate quickly in a fast-paced AI environment.