Senior AI Engineer at Blend360

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Retrieval-Augmented Generation, RAG, Agentic Frameworks, MLOps, LangChain, CrewAI, Google ADK, Prompt Engineering, Azure AI, Azure Machine Learning, Azure OpenAI Service, Azure AI Search, Python, Model Deployment, CI/CD, Performance Tracing

Industry

Professional Services

Description

Company 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 We are seeking a AI Engineer to contribute to our next level of growth and expansion. Job Description We are looking for an AI Engineer 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 scalable solutions. Qualifications 4+ years of experience in designing, developing, and deploying AI/ML solutions Strong hands-on experience with Azure AI & ML services, including: Azure Machine Learning Azure OpenAI Service Azure AI Search / Cognitive Search Azure Data & Compute services Strong 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 and ability to work in a collaborative, cross-functional environment

Responsibilities

The role involves designing, developing, and deploying scalable AI solutions, focusing on implementing Retrieval-Augmented Generation (RAG) and utilizing agentic frameworks like LangChain and CrewAI. Key tasks include applying advanced prompt engineering, managing MLOps workflows, and ensuring robust monitoring of AI application performance.