AI Engineer

Developerstory; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Developerstory is seeking an experienced AI Engineer in Bengaluru, India. The ideal candidate will design and deliver scalable AI solutions while working closely with engineering and architecture teams. Key responsibilities include evaluating AI models, building and deploying solutions on Microsoft Azure, and ensuring adherence to cloud architecture best practices.

The role requires over 5 years of AI/ML engineering experience and proficiency in the Azure AI ecosystem. Successful candidates will have a strong foundational knowledge in machine learning and data systems, along with the capability to develop advanced AI solutions.

Qualifications

• 5+ years of overall experience in AI/ML engineering.
• 2+ years hands-on experience in the Azure AI ecosystem.
• Expertise in developing AI agents using various frameworks.

Responsibilities

• Evaluate and select AI models based on use case requirements.
• Build and deploy AI solutions primarily on Microsoft Azure.
• Collaborate with data scientists for advanced modelling.

Skills

AI/ML engineering

Azure AI ecosystem

Multi-Agent Systems

RAG pipelines

LLM evaluation

Tools

Azure ML

Azure OpenAI

Job description

We are looking for an AI Engineer to design and deliver scalable, enterprise-grade AI solutions. This role involves working closely with engineering and architecture teams to build robust AI systems, leveraging modern GenAI capabilities, cloud platforms, and strong foundational knowledge in machine learning and data systems.

Key Responsibilities

• Evaluate and select appropriate AI models — LLMs and SLMs — based on use case requirements
• Analyse model performance, scalability, and deployment considerations
• Contribute to the design of GenAI solutions: RAG pipelines, prompt engineering strategies, and model integration patterns
• Build and deploy AI solutions primarily on Microsoft Azure (Azure ML, Azure OpenAI)
• Ensure adherence to cloud architecture best practices, scalability, and reliability standards
• Apply knowledge of statistics, machine learning, and data engineering concepts in solution development
• Collaborate with data scientists and data engineers for advanced modelling and data pipeline requirements
• Apply working knowledge of cloud security, compliance, and landing zone principles
• Collaborate with Solution Architects to ensure alignment with governance and architectural standards
• Contribute to cost-efficient AI solution design and resource optimisation

Requirements

• 5+ years of overall experience in AI/ML engineering
• 2+ years hands-on experience in the Azure AI ecosystem (Azure ML, Azure OpenAI)
• Design and implement Multi-Agent Systems capable of autonomous reasoning, planning, and tool-use
• Develop AI agents using frameworks like Semantic Kernel, LangGraph, AutoGen, or LlamaIndex
• Expertise in sophisticated RAG pipelines — embedding, semantic chunking, multi-vector indexing, and cross-encoder re-ranking
• Expertise in LLM evaluation and guardrails
• Conduct rigorous latency analysis and throughput optimisation for real-time agentic interactions