Senior Applied AI Engineer

Clarus Advisers; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Clarus Advisers invites an Applied AI Engineer to join our engineering team in Hyderabad. You will build and enhance high-visibility, full-stack AI-powered products, collaborating with product teams and customers to deliver timely, quality solutions.

You will apply modern software engineering practices, design AI/ML models, integrate LLMs, and automate deployments across the full lifecycle from discovery to production. Strong UX awareness and code quality are essential.

Qualifications

• 6+ years of experience with modern tech stack including Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch and TensorFlow.
• 3+ years building AI/ML and agentic apps with GenAI integration (LLM, RAG, prompts).
• 3+ years cloud-native engineering on AWS/Azure Vertex AI with IaC and FinOps awareness.

Responsibilities

• Develop lean engineering solutions through rapid experimentation engaging with customers and product teams.
• Deliver full automation from discovery to production with SSDLC lifecycle and quality checks.
• Translate business needs into technical specs and code, collaborating across teams to ensure quality and timely delivery.

Skills

Angular

React

NodeJS

Python

C#

.NET

Java

SQL/NoSQL

PyTorch

TensorFlow

LangChain

LangGraph

AI/ML

GenAI integration

LLM integration

RAG pipelines

Prompt engineering

Vector databases

Evaluations

AI agent orchestration

Cloud-native engineering

FaaS/PaaS

Microservices

AWS AI/ML services

Azure OpenAI

Vertex AI

IaC

FinOps

Tools

Angular

Job description

Company Overview

Our client a consulting major, is looking for strong technical application development expertise.

Position Overview

As an Applied AI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to building and enhancing high-visibility, full-stack products that serve the business and its users.

Responsibilities

• Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
• Possess expertise in modern software engineering practices and principles, including AI and Agentic SSDLC to deliver daily product deployments using full automation from discovery to production to operations with all quality checks through SSDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning.
• Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.

Skills & Experience

• 6+ years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.
• 3+ years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
• 3+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on cloud hyperscalers such as AWS including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).