AI Engineer
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Key skills for this role
About the Role
A confidential company seeks an AI Engineer with strong expertise in AI engineering, LLMs, AI agents, and scalable enterprise AI architecture. The role involves designing, developing, and maintaining AI-powered solutions, including multi-agent systems, RAG, and orchestration workflows.
Key Skills for This Role
Responsibilities
- Design, develop, test, deploy, and maintain AI powered enterprise solutions.
- Build intelligent AI agents and multi agent systems using modern AI frameworks.
- Develop enterprise copilots, assistants, machine learning models and workflow automation agents.
- Build and maintain scalable LLM based applications.
- Create Retrieval Augmented Generation (RAG) solutions using enterprise data.
- Implement prompt engineering and AI orchestration workflows.
- Fine tune and optimize AI solutions for performance, reliability, and scalability.
- Build orchestration layers between multiple AI agents and enterprise systems.
- Integrate AI agents with APIs, databases, cloud services, and business applications.
- Design agent to agent communication and workflow automation.
- Manage memory, context handling, semantic search, and knowledge retrieval capabilities.
- Ensure AI systems comply with enterprise security and governance standards.
Requirements
- 5+ years of experience in AI engineering, backend development and machine learning
- Strong programming skills in Python and experience with API development
- Strong understanding of Large Language Models (LLMs)
- Experience in Microsoft AI solutions (Azure Foundry, Co Pilot, Fabric etc.)
- Experience in Microsoft Power Platforms (Power Automate, Power APPs, Power BI, etc.)
- Hands on experience to be able code, build, deploy, and maintain AI systems independently
- Experience integrating AI solutions with enterprise platforms
- Experience designing scalable enterprise AI architectures
- Strong understanding of modern AI ecosystems and emerging technologies
- Can transform business requirements into production grade scalable AI solutions
- Can orchestrate multiple AI agents and enterprise workflows
- Familiarity with LangChain, Semantic Kernel, AutoGen, or similar AI orchestration frameworks
Full Job Posting
AI Engineer Position
- The ideal candidate must have strong expertise in AI engineering, LLMs, AI agents building & coding, scalable enterprise AI architecture, orchestration frameworks and integrations.
Key Responsibilities
- Design, develop, test, deploy, and maintain AI powered enterprise solutions.
- Build intelligent AI agents and multi agent systems using modern AI frameworks.
- Develop enterprise copilots, assistants, machine learning models and workflow automation agents.
- Build and maintain scalable LLM based applications.
- Create Retrieval Augmented Generation (RAG) solutions using enterprise data.
- Implement prompt engineering and AI orchestration workflows.
- Fine tune and optimize AI solutions for performance, reliability, and scalability.
- Build orchestration layers between multiple AI agents and enterprise systems.
- Integrate AI agents with APIs, databases, cloud services, and business applications.
- Design agent to agent communication and workflow automation.
- Manage memory, context handling, semantic search, and knowledge retrieval capabilities.
- Ensure AI systems comply with enterprise security and governance standards.
Ideal Candidate Profile
- 5+ years of experience in AI engineering, backend development and machine learning.
- Strong programming skills in Python and experience with API development.
- Strong understanding of Large Language Models (LLMs).
- Having experience in Microsoft AI solutions (Azure Foundry, Co Pilot, Fabric etc.).
- Having experience in Microsoft Power Platforms (Power Automate, Power APPs, Power BI, etc.).
- Hands on experience to be able code, build, deploy, and maintain AI systems independently.
- Experience integrating AI solutions with enterprise platforms.
- Experience designing scalable enterprise AI architectures.
- Strong understanding of modern AI ecosystems and emerging technologies.
- Can transform business requirements into production grade scalable AI solutions.
- Can orchestrate multiple AI agents and enterprise workflows.
- Familiarity with LangChain, Semantic Kernel, AutoGen, or similar AI orchestration frameworks.
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