Senior AI Engineer
Role Overview
We are looking for an experienced and highly skilled Senior AI Engineer with 7 + years of professional experience to join our AI engineering team. 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.
Key Skills for This Role
Full Job Posting
Job Summary
We are looking for an experienced and highly skilled Senior AI Engineer with 7 + years of professional experience to join our AI engineering team. 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.
Key Responsibilities
- Design, develop, and deploy scalable AI/ML and Agentic AI solutions for enterprise applications.
- 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.
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
Data processing and data pipelines
Cloud architecture and services
Data integration and API development
Preferred 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
About ThirdEye Data
Private AI development company building enterprise AI applications, agents, and automation systems for organizations worldwide.
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