GenAI / Agentic AI Engineer (Azure AI, LLM & Multi-Agent Orchestration) | 9NEXUS | 100% Remote – India

9NEXUS; India; Remote; INR 4,200,000 - 6,600,000; Full time

Job summary

9NEXUS Limited is seeking a GenAI/Agentic AI Engineer for a permanent remote role in India. You will own AI architecture, RAG pipelines, vector databases, and multi-agent orchestration, delivering production-grade GenAI applications.

The ideal candidate has 5+ years in software development with 2+ years in GenAI/LLMs, and experience with Azure AI Services, Databricks, and SQL. This leadership position involves collaboration with data scientists, product managers, and software teams, rigorous

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Software Engineering, Data Science, or related field.
• Minimum of 5+ years in software development with at least 2+ years in GenAI/LLMs.
• Strong operational expertise in Generative AI, Agentic AI, and RAG architectures.
• Experience with Azure AI Services, Databricks, and SQL databases.
• Hands-on with multi-agent orchestration frameworks (LangGraph, CrewAI, Semantic Kernel, AutoGen).
• Familiarity with AI evaluation, testing pipelines, and security.
• Excellent communication and stakeholder engagement; eligibility to work in India.

Responsibilities

• Architect and deploy enterprise-grade GenAI/Agentic AI apps.
• Build RAG pipelines and vector search systems.
• Implement multi-agent orchestration with LangGraph, CrewAI, and AutoGen.
• Integrate Azure AI and Databricks into scalable architectures.
• Run AI evaluation, prompt optimization, and latency reduction.
• Manage SQL and vector databases; collaborate with cross-functional teams.
• Document architectures, prompts, and release runbooks.

Skills

GenAI

Agentic AI

RAG pipelines

LLMs

AI architecture

Education

Bachelor's or Master's in CS/AI/SE/DS

Tools

Azure AI Services

Databricks

SQL databases

LangGraph

CrewAI

Semantic Kernel

AutoGen

Job description

Position Summary

Driving advanced enterprise-grade Generative AI, Agentic AI solutions, and multi-agent orchestration across remote operations in India, 9NEXUS is actively seeking an accomplished GenAI / Agentic AI Engineer for a permanent remote professional engagement. In this vital technical leadership role, you will take full operational, tactical, and technical ownership of RAG pipeline architecture, Azure AI services integration, LangGraph and CrewAI multi-agent frameworks, and production-ready AI application deployment. Bringing 5+ years of progressive professional experience in software development with at least 2+ specialized years in GenAI and Large Language Models (LLMs), you will empower an elite technical recruitment and digital transformation enterprise to achieve uncompromised artificial intelligence performance, secure LLM integration, and superior automated intelligence workflows. This prestigious career opportunity offers competitive remuneration, high-visibility enterprise exposure, and professional growth within a leading global technical recruitment and software engineering enterprise.

Detailed Job Description

As a GenAI / Agentic AI Engineer supporting 9NEXUS on a 100% remote professional basis across India (with immediate joiners or candidates currently serving notice periods strongly preferred), you will take full operational, tactical, and technical ownership of AI architecture design, agentic workflow orchestration, vector database integration, and cross-functional engineering collaboration. Your day-to-day responsibilities include building enterprise-grade GenAI and Agentic AI applications, developing advanced Retrieval-Augmented Generation (RAG) pipelines, implementing multi-agent orchestration utilizing LangGraph, CrewAI, Semantic Kernel, and AutoGen, integrating Azure AI services and Databricks platforms, managing SQL database interactions, executing rigorous AI evaluation frameworks, collaborating proactively with data scientists, software architects, and product managers during agile sprint cycles, and interacting directly with talent acquisition specialists. The application process is handled separately.

Key Responsibilities

• Architect, design, develop, test, and deploy enterprise-grade Generative AI and Agentic AI applications into production environments.
• Build and optimize advanced Retrieval-Augmented Generation (RAG) pipelines, vector search indices, and semantic retrieval systems.
• Implement sophisticated multi-agent orchestration frameworks including LangGraph, CrewAI, Semantic Kernel, and Microsoft AutoGen.
• Integrate state-of-the-art Azure AI Services, Databricks machine learning environments, and Foundation Models into scalable software architectures.
• Execute rigorous AI evaluation frameworks, hallucination mitigation testing, prompt optimization, and latency reduction.
• Manage complex relational database integrations utilizing advanced SQL queries and vector database storage solutions.
• Collaborate proactively with cross-functional software engineering squads, data science teams, and product managers.
• Maintain meticulous technical documentation, AI model architecture blueprints, prompt repositories, and release runbooks.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or related technical discipline.
• Minimum of 5+ years of progressive professional hands-on experience in software development, with at least 2+ years dedicated to GenAI and LLMs.
• Strong, demonstrable operational expertise in Generative AI, Agentic AI, RAG architectures, and Large Language Model fine-tuning/prompting.
• Comprehensive working knowledge and practical proficiency in Azure AI Services, Databricks, and SQL database management.
• Deep practical experience with multi-agent orchestration frameworks such as LangGraph, CrewAI, Semantic Kernel, and AutoGen.
• Solid practical grasp of AI evaluation frameworks, automated testing pipelines, and LLM security compliance standards.
• Exceptional analytical problem-solving aptitude, algorithmic optimization capabilities, and professional stakeholder communication skills.
• Mandatory legal work authorization and physical availability for remote professional operations based in India.

Nice-to-Have Skills

• Professional cloud certifications such as Microsoft Certified: Azure AI Engineer Associate or AWS Certified Machine Learning Specialty.
• Prior professional working experience supporting fast-growing technology startups, AI research labs, or enterprise software product companies.
• Hands-on familiarity with vector databases (Pinecone, Chroma, Milvus, Qdrant) and graph databases (Neo4j).
• Experience utilizing enterprise agile tracking and collaboration platforms (Jira, Confluence, GitHub Enterprise).
• Active participation in AI open-source communities, developer meetups, or machine learning research forums.

Job Details

• Salary/Rate: Market Competitive / Enterprise Artificial Intelligence Package
• Work Schedule: 100% Remote Professional Operations (India Only)
• Deadline: Open until filled (Urgent Remote GenAI Engineer Opening)
• Notice Period: Immediate Joiners / Notice Period Servers Strongly Preferred
• Contract Duration: Permanent / Full-Time Remote Employment (India)
• Company Website: https://www.9nexus.com