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Generative AI Engineer

Toronto, Ontario, CanadaOnsiteFull TimePosted 2 months ago

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Role summary

We are seeking a Generative AI / Machine Learning Engineer with expertise in LLMs and RAG pipelines to build and deploy GenAI solutions. Key requirements include strong experience in Generative AI, ML, NLP, LLMs, and hands-on work with models like OpenAI, Gemini, Claude, Mistral, and LLaMA. Proficiency in Python with libraries such as Pandas, NumPy, PyTorch, and Transformers is essential. Experience with LangChain, LlamaIndex, FastAPI, vector databases (Pinecone, PGVector, MongoDB Atlas, Neo4j), prompt engineering, agentic frameworks, MLOps, CI/CD, production deployments, Kubernetes/OpenShift, and cloud platforms (AWS/GCP/Azure) is critical. Knowledge of AI guardrails and model evaluation is a plus.

Company Description:Job Description
Job Title:

GenAI / ML Engineer (LLM + RAG)

Location:

Toronto, Canada (Hybrid / Remote)

We are hiring a
Generative AI / Machine Learning Engineer
with strong expertise in
LLMs and RAG pipelines
. The ideal candidate will have hands-on experience building and deploying GenAI solutions in production environments.

Key Skills Required

- Strong experience in
Generative AI, Machine Learning, NLP, and LLMs
- Hands-on with
OpenAI, Gemini, Claude, Mistral, LLaMA
- Critical:
Experience in
RAG pipeline design & implementation
- Strong
Python
skills with libraries like Pandas, NumPy, PyTorch, Transformers
- Experience with
LangChain, LlamaIndex, FastAPI
- Knowledge of
vector databases
(Pinecone, PGVector, MongoDB Atlas, Neo4j)
- Experience in
prompt engineering & agentic frameworks
- Hands-on with
MLOps, CI/CD, and production deployments
- Experience with
Kubernetes / OpenShift & cloud platforms (AWS/GCP/Azure)

Good to Have

- Knowledge of
AI guardrails & model evaluation
- Experience with
large-scale unstructured data processing

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