Senior AI Engineer - CB

Radial Inc.; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Radial Inc. seeks a Senior AI Engineer to design, build, and scale enterprise-grade AI solutions across ML, Generative AI, and Agentic AI domains.

You will deploy scalable ML pipelines, orchestrate LLMs, and implement RAG architectures for production systems. The role emphasizes hands-on model development, MLOps, and building autonomous AI agents with tool usage, multi-agent coordination, and robust monitoring in a cloud-native environment.

Qualifications

• Strong Python expertise.
• Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn.
• Experience with LLM frameworks: LangChain, LlamaIndex, CrewAI, AutoGen.
• Experience with vector databases: Pinecone, FAISS, Chroma, Weaviate.
• Cloud experience: AWS, Azure, GCP.
• API development using FastAPI, Flask, REST, or gRPC.
• Experience with MLOps: MLflow, Kubeflow, SageMaker.
• SQL / Spark and data engineering fundamentals.
• Strong software engineering discipline.

Responsibilities

• Design and deploy scalable machine learning solutions for forecasting, classification, anomaly detection, NLP, and optimization.
• Build end-to-end ML pipelines from ingestion, feature engineering, training, deployment, and monitoring.
• Fine-tune, evaluate and optimize models using frameworks such as PyTorch, TensorFlow, Scikit-learn.
• Build LLM-powered enterprise solutions using GPT, Claude, LLaMA, Mistral, Gemini.
• Develop autonomous AI agents capable of planning, reasoning, workflow execution, and tool usage.
• Implement multi-agent systems using CrewAI, AutoGen, LangGraph, LangChain, and LlamaIndex.
• Build Retrieval-Augmented Generation (RAG) architectures using vector databases.
• Deploy AI workloads using Kubernetes, Docker, CI/CD, and MLOps pipelines.
• Build APIs and scalable inference services.
• Implement monitoring for latency, hallucination risk, drift, token usage, and ROI.
• Collaborate with product owners, operations teams, and leadership to identify high-value AI opportunities and translate business problems into deployable AI solutions.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

LangChain

LlamaIndex

CrewAI

AutoGen

Pinecone

FAISS

Chroma

Weaviate

AWS

Azure

GCP

FastAPI

Flask

REST

gRPC

MLflow

Kubeflow

SageMaker

SQL

Spark

Software engineering

Tools

Kubernetes

Docker

CI/CD

Job description

We are seeking a highly capable Senior AI Engineer to design, build, and scale enterprise‑grade AI solutions across Machine Learning, Generative AI, and Agentic AI domains. This role requires strong hands‑on expertise in ML model development, LLM orchestration, RAG pipelines, autonomous AI agents, and production deployment. You will play a critical role in transforming business operations through intelligent automation, predictive systems, and AI‑powered decision‑making platforms.

Key Responsibilities

• Design and deploy scalable machine learning solutions for forecasting, classification, anomaly detection, NLP, and optimization.
• Build end‑to‑end ML pipelines from ingestion, feature engineering, training, deployment, and monitoring.
• Fine‑tune, evaluate and optimize models using frameworks such as PyTorch, TensorFlow, XGBoost, and Scikit‑learn.
• Build LLM‑powered enterprise solutions using GPT, Claude, LLaMA, Mistral, Gemini, etc.
• Develop autonomous AI agents capable of planning, reasoning, workflow execution, and tool usage.
• Implement multi‑agent systems using CrewAI, AutoGen, LangGraph, LangChain, and LlamaIndex.
• Build Retrieval‑Augmented Generation (RAG) architectures using vector databases.
• Deploy AI workloads using Kubernetes, Docker, CI/CD, and MLOps pipelines.
• Build APIs and scalable inference services.
• Implement monitoring for latency, hallucination risk, drift, token usage, and ROI.
• Collaborate with product owners, operations teams, and leadership to identify high‑value AI opportunities and translate business problems into deployable AI solutions.

Required Skills

• Strong Python expertise.
• Experience with ML frameworks: TensorFlow, PyTorch, and Scikit‑learn.
• Experience with LLM frameworks: LangChain, LlamaIndex, CrewAI, AutoGen.
• Experience with vector databases: Pinecone, FAISS, Chroma, Weaviate.
• Cloud experience: AWS, Azure, GCP.
• API development using FastAPI, Flask, REST, or gRPC.
• Experience with MLOps: MLflow, Kubeflow, SageMaker.
• SQL / Spark and data engineering fundamentals.
• Strong software engineering discipline.

Radial is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Radial is committed to ensuring that its online application process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to submit an application, please contact us by emailing [e-mail]. We will work to assist disabled job seekers whose disability prevents them from being able to apply online.