Blend360

Tech / AI / Software

AIEngineer

hyderabad, telangana, india FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“AI Engineer at Blend360. Skills: AI solutions, Retrieval-Augmented Generation (RAG), agentic frameworks, MLOps, LangChain, CrewAI, Google ADK, prompt engineering, Azure AI & ML services. Design, develop, and deploy AI solutions. Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques”

What You'll Achieve.

contribute to our next level of growth and expansion; co-creating meaningful impact for its clients; unlocking value and fostering innovation for its clients; creating more fulfilling work and projects for our people and clients

Industry & Context.

Tech / AI / Software
Problems you'll solve

Excellent problem-solving skills; ability to work in a collaborative, cross-functional environment

What They're Looking For.

Must Have

4+ years of experience in designing, developing, and deploying AI/ML solutions, hands-on experience with Azure AI & ML services, Azure Machine Learning, Azure OpenAI Service, Azure AI Search / Cognitive Search, Azure Data & Compute services, understanding of machine learning fundamentals and traditional AI concepts, Experience with MLOps tools and practices (model training, deployment, monitoring, CI/CD on Azure), Solid programming skills in Python (or other relevant languages), Excellent problem-solving skills

What You'll Do.

and deploy AI solutions

Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques

Utilize and integrate AI frameworks like LangChain

Use advanced prompt engineering techniques to solve complex problems with LLMs

Build and manage agentic frameworks such as CrewAI and Google ADK

Apply MLOps best practices to streamline AI development workflows

Monitor and trace AI applications performance

Work on end-to-end software engineering for scalable solutions

How You'll Work.

Team & Collaboration

part of a cross-functional team; collaboration with other engineering; Collaborate across teams to ensure alignment with traditional ML and AI methodologies; work in a collaborative, cross-functional environment

Full Job Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com/) We are seeking a AI Engineer to contribute to our next level of growth and expansion. We are looking for an AI Enginee r with hands-on experience designing and deploying scalable AI solutions. In this role, you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows. You’ll play a key role in developing AI applications using tools like LangChain, CrewAI, and Google ADK, while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing. Your collaboration with other engineering will help align innovative AI systems with broader development goals. What is this position about? * Design, develop, and deploy AI solutions. * Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques. * Utilize and integrate AI frameworks like LangChain. * Use advanced prompt engineering techniques to solve complex problems with LLMs. * Build and manage agentic frameworks such as CrewAI and Google ADK. * Apply MLOps best practices to streamline AI development workflows. * Monitor and trace AI applications performance. * Collaborate across teams to ensure alignment with traditional ML and AI methodologies. * Work on end-to-end software engineering for

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