Artificial Intelligence Engineer
21 hours ago
Role Overview
We are looking for a skilled
AI Developer
with expertise in setting up and deploying
Ollama
and training
custom AI/LLM models
. The ideal candidate will have strong hands-on experience with the
Microsoft Azure AI ecosystem
, including
Azure AI Search, Azure Machine Learning, Azure OpenAI Service
, and integration with the
Microsoft Copilot ecosystem
. You will collaborate with solution architects, data scientists, and business stakeholders to design and deliver scalable AI-driven solutions.
Key Responsibilities
- Model Setup & Deployment
- Install, configure, and optimize
Ollama
for local/custom LLM usage. - Build, fine-tune, and deploy custom AI/LLM models tailored to business needs.
- Manage model lifecycle (training, evaluation, deployment, monitoring).
- Azure AI Development
- Integrate solutions with
Azure AI Search
for semantic search, RAG (retrieval-augmented generation), and vector indexing. - Work with
Azure OpenAI Service
for GPT-based use cases and hybrid scenarios (custom + hosted models). - Leverage
Azure Machine Learning
for model training pipelines, MLOps, and deployment. - Copilot & Microsoft 365 AI Integration
- Extend and customize
Microsoft Copilot
capabilities using
Copilot Studio
and
Graph Connectors
. - Integrate AI experiences across Microsoft 365, Dynamics 365, and Power Platform.
- Solution Delivery & Engineering
- Collaborate with architects to design
end-to-end AI solutions
(data ingestion, embeddings, orchestration, APIs). - Build APIs and services to expose AI models securely for applications.
- Ensure performance optimization, scalability, and compliance in deployments.
- Innovation & Best Practices
- Evaluate emerging AI/LLM frameworks and recommend adoption.
- Apply Responsible AI principles, governance, and ethical AI standards.
- Document solutions, create reusable components, and contribute to internal knowledge base.
Required Skills & Experience
- Strong hands-on experience with
Ollama
or similar local LLM serving frameworks (LM Studio, vLLM, LangChain integration). - Proven experience in
training and fine-tuning LLMs
(e.g., LoRA, PEFT, Hugging Face, PyTorch, TensorFlow). - Proficiency in
Microsoft Azure AI stack
, especially: - Azure AI Search (vector search, hybrid search, RAG).
- Azure OpenAI Service & Azure Machine Learning.
- Azure Cognitive Services (Language, Vision, Speech).
- Experience with
Microsoft Copilot ecosystem
(Copilot Studio, Graph APIs, Power Platform AI integrations). - Programming: Python, C#, or with AI/ML frameworks.
- Experience with
containerization (Docker/Kubernetes)
for model deployment. - Strong understanding of
MLOps, CI/CD pipelines, and DevOps
in Azure.
Preferred Qualifications
- Experience integrating AI into
enterprise systems
(Dynamics 365, Business Central, CRM, ERP). - Knowledge of
vector databases
(Pinecone, Weaviate, Milvus, or Azure AI Search vector indexing). - Familiarity with
LangChain, Semantic Kernel, or Prompt Flow
for orchestration. - Exposure to
Responsible AI practices
and compliance frameworks. - Microsoft Certified:
Azure AI Engineer Associate
or similar.
Soft Skills
- Strong problem-solving and analytical mindset.
- Ability to work in
cross-functional teams
(data, infra, apps, business). - Good communication — able to explain AI concepts to both technical and non-technical stakeholders.
- Self-driven, eager to explore cutting-edge AI technologies.
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