Lead Generative AI- Software Engineer

Clarus Advisers; Hyderabad, Gurugram District, Bengaluru; On-site; INR 300,000 - 600,000; Full time

Job summary

Clarus Advisers seeks senior software engineers with 5+ years of AI/ML experience to build agentic applications, integrate LLMs, and design RAG pipelines for scalable products. You will work across cloud-native platforms (Azure/AWS/GCP), apply FinOps-aware infrastructure, and collaborate on LangFuse or LangSmith based multi-agent orchestration to deliver high-quality solutions.

Strong knowledge of OOP, data structures, and AI-augmented development practices is expected, with hands-on testing and

Qualifications

• 5+ years of software engineering with modern stacks and AI/ML tooling.
• 3+ years AI/ML and GenAI across LLMs, RAG, prompts, vector DBs, and AI orchestration.
• 3+ years cloud-native engineering on Azure/AWS/GCP with FinOps awareness.
• Experience with multi-agent orchestration frameworks and AI frameworks.

Skills

Angular

React

NodeJS

Python

C#/.NET

Java/SQL/NoSQL

PyTorch

TensorFlow

LangChain

LangGraph

Tools

XP

Lean

DevSecOps

SRE

ADO

GitHub

SonarQube

MLflow

LangFuse

LangSmith

Job description

Required Qualifications:

5+ 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 any of the cloud hyperscalers such as Azure, AWS, or GCP, 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).
• Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
• Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to deliver high-quality products rapidly.