Title: Lead Generative AI Engineer
Mode: Contract
Location: Canada Remote
Mandatory Skills: (Azure Foundry or Copilot Studio) RAG LLM Azure services
DESIGNATION
- We are seeking a forward-thinking AI Engineer to architect and deploy intelligent systems powered by Large Language Models LLMs Retrieval Augmented Generation RAG and advanced chunking strategies This role is ideal for engineers passionate about building scalable production grade AI applications that leverage cutting edge retrieval and generation techniques
ROLE DESCRIPTION
- Design and implement RAG pipelines using hybrid search vector keyword semantic ranking and metadata enrichment
- Apply chunking strategies fixed size recursive semantic agentic to optimize document segmentation for retrieval and embedding
- Finetune and evaluate LLMs eg GPT LLaMA Ollama for tasks such as QA summarization NER and sentiment analysis
- Build multi agentic systems
- Integrate AI capabilities into enterprise applications using Azure OpenAI Cognitive Search Azure Functions and Power Automate
- Collaborate with stakeholders to translate business needs into scalable AI solutions
- Ensure model reliability performance and ethical compliance across deployments
SKILLS
8 to 12 years of experience as Full stack developer with at least 2 to 4 years in generative AI or RAG systems
Proficiency in
- Azure AI Studio Azure Cognitive Services VectorDBs eg Pinecone FAISS
- Chunking techniques and embedding strategies
- MLOps tools MLflow Docker CICD pipelines
- Experience with prompt engineering model evaluation
- Mandatory Familiarity with Agentic Systems and MultiAgent Orchestration
Technical Soft Skills Expertise Level Expert Good Knowledge
- NET React Expert
- Python Expert
- AI Solutions Expert
- Azure Cognitive Solutions Good
- SDLC Lifecycle Good
- Partner Client Communications Expert
- Desired Skills
- Technical Soft Skills Expertise Level Expert Good Knowledge
- ADO Azure DevOps Good Knowledge
Title: Lead Generative AI Engineer Mode: Contract Location: Canada Remote Mandatory Skills: (Azure Foundry or Copilot Studio) RAG LLM Azure services DESIGNATION We are seeking a forward-thinking AI Engineer to architect and deploy intelligent systems powered by Large Language Models LLMs Ret...
Title: Lead Generative AI Engineer
Mode: Contract
Location: Canada Remote
Mandatory Skills: (Azure Foundry or Copilot Studio) RAG LLM Azure services
DESIGNATION
- We are seeking a forward-thinking AI Engineer to architect and deploy intelligent systems powered by Large Language Models LLMs Retrieval Augmented Generation RAG and advanced chunking strategies This role is ideal for engineers passionate about building scalable production grade AI applications that leverage cutting edge retrieval and generation techniques
ROLE DESCRIPTION
- Design and implement RAG pipelines using hybrid search vector keyword semantic ranking and metadata enrichment
- Apply chunking strategies fixed size recursive semantic agentic to optimize document segmentation for retrieval and embedding
- Finetune and evaluate LLMs eg GPT LLaMA Ollama for tasks such as QA summarization NER and sentiment analysis
- Build multi agentic systems
- Integrate AI capabilities into enterprise applications using Azure OpenAI Cognitive Search Azure Functions and Power Automate
- Collaborate with stakeholders to translate business needs into scalable AI solutions
- Ensure model reliability performance and ethical compliance across deployments
SKILLS
8 to 12 years of experience as Full stack developer with at least 2 to 4 years in generative AI or RAG systems
Proficiency in
- Azure AI Studio Azure Cognitive Services VectorDBs eg Pinecone FAISS
- Chunking techniques and embedding strategies
- MLOps tools MLflow Docker CICD pipelines
- Experience with prompt engineering model evaluation
- Mandatory Familiarity with Agentic Systems and MultiAgent Orchestration
Technical Soft Skills Expertise Level Expert Good Knowledge
- NET React Expert
- Python Expert
- AI Solutions Expert
- Azure Cognitive Solutions Good
- SDLC Lifecycle Good
- Partner Client Communications Expert
- Desired Skills
- Technical Soft Skills Expertise Level Expert Good Knowledge
- ADO Azure DevOps Good Knowledge
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