Senior AI Engineer

Role overview

Senior AI Engineer at ThirdEyeData

Design, develop, and deploy scalable AI/ML and Agentic AI solutions for enterprise applications.

We are looking for an experienced and highly skilled Senior AI Engineer with 7 + years of professional experience to join our AI engineering team.

Responsibilities

• Build and integrate LLM-powered applications, AI agents, APIs, and intelligent automation solutions .
• Develop solutions using Azure AI Agents, Azure AI Services, Azure Machine Learning, and Microsoft Fabric .
• Design and implement AgentOps pipelines for data preparation, model development, evaluation, deployment, and monitoring.
• Work with Large Language Models (LLMs), prompt engineering, RAG, embeddings, vector search, and AI agents .
• Develop robust and scalable applications using Python and C#/.NET .
• Integrate AI capabilities with enterprise applications through REST APIs and cloud-native services .
• Work with Microsoft Fabric for data engineering, analytics, and AI/ML use cases.
• Implement model and application optimization techniques to improve performance, scalability, accuracy, and reliability.
• Collaborate with data engineers, software engineers, solution architects, and business stakeholders to translate requirements into technical solutions.
• Participate in technical design, architecture discussions, code reviews, testing, and production deployments.
• Implement CI/CD, version control, and deployment workflows using Git/GitHub and Azure DevOps .
• Troubleshoot production issues and provide technical solutions for AI/ML applications.
• Follow secure coding, cloud security, data governance, and enterprise development best practices.
• Mentor junior AI engineers and contribute to technical knowledge sharing within the team.
• Stay updated with emerging developments in Generative AI, Microsoft AI technologies, LLMs, and Machine Learning .
• Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field . 5+ years of professional experience in AI/ML, Machine Learning Engineering, Data Science, Software Engineering, or a related role.
• Strong hands-on experience in developing and deploying production-grade AI/ML solutions .
• Strong programming experience in Python .
• Good hands-on experience with C#/.NET and enterprise application development.
• Strong understanding of Machine Learning concepts, model evaluation, optimization, and deployment.
• Experience working with cloud-based AI and data platforms, preferably within the Microsoft Azure ecosystem .
• Strong analytical, problem-solving, communication, and collaboration skills.
• Required Technical Skills Microsoft & Azure Technologies Microsoft Azure Azure OpenAI Service Azure AI Services Azure Machine Learning Microsoft Fabric Azure Functions and other Azure cloud services Azure DevOps AI / Machine Learning Machine Learning and Deep Learning fundamentals Generative AI and Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Embeddings and Vector Search AI Agents / Agentic AI Model evaluation and optimization AI/ML deployment and monitoring Programming & Development Python – Strong proficiency C#/.NET SQL REST APIs Git/GitHub Software development and debugging practices Data & Cloud Microsoft Fabric Data processing and data pipelines Cloud architecture and services Data integration and API development

Preferred qualifications and skills

• Azure Agent Framework LangChain / LangGraph Azure AI Search Azure Data Factory Databricks Docker and containerization Kubernetes MLOps / LLMOps CI/CD pipelines Power BI Experience building enterprise AI agents and copilots Experience with vector databases and semantic search Knowledge of responsible AI, AI security, and governance

Employment details

• Location: India

Additional role details

• The candidate will be responsible for designing, developing, deploying, and optimizing enterprise-grade AI and Machine Learning solutions using modern Microsoft technologies and cloud platforms .
• The role requires strong hands-on expertise in Python, Azure, Azure OpenAI, Azure AI Agents, Microsoft Fabric, Machine Learning, Generative AI, and LLM-based applications .
• The candidate will work closely with engineering, data, and business teams to build scalable and production-ready AI solutions.