GenAI Engineer
Contract – 6+ months
Location –Toronto, ON (Hybrid - 3 days a week onsite)
Overall Experience - 7+ years
AI Experience - 3+ years
*****Looking explicitly for GenAI development experience. Data Science/ML experience will not counted. ******
Key Responsibilities
- Design, develop, and deploy Generative AI applications using LLMs and modern AI frameworks.
- Build RAG pipelines using embeddings, vector databases, semantic search, document chunking, and reranking.
- Develop LLM-powered workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
- Implement prompt engineering, context management, function calling, and tool integration.
- Integrate GenAI solutions with REST APIs, backend services, and enterprise systems.
- Evaluate model outputs, improve response quality, and implement measures to reduce hallucinations.
- Optimize AI applications for performance, scalability, reliability, and production deployment.
Required Skills
- Strong programming experience in Python and API integration.
- Hands-on experience with Generative AI, LLMs, and RAG-based applications.
- Knowledge of embeddings, vector databases, semantic search, and information retrieval.
- Experience with at least one framework: LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
- Understanding of prompt engineering, context engineering, and LLM orchestration.
- Experience integrating LLMs with backend applications and external tools.
- Familiarity with at least one cloud AI platform, such as Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
Preferred Qualifications
- Experience developing AI agents or agentic AI workflows.
- Knowledge of LLM evaluation, tracing, observability, and hallucination mitigation.
- Experience deploying and monitoring GenAI applications in production.
- Familiarity with hybrid search, reranking, structured outputs, and inference optimization.
