Python Developer

RAPS Consulting Inc; Mississauga; On-site; CAD 120,000 - 160,000; Full time

Job summary

RAPS Consulting Inc is seeking a Senior Python Developer with hands-on experience in Generative AI, LLMs, RAG, and production AI solutions in Mississauga, Canada. The role demands 8–10 years in application development or systems analysis and a strong AI/ML foundation, plus hands-on work with top-tier LLMs and production pipelines.

Ideal candidates will be proficient with Vertex AI / Hugging Face, LangChain, and vector databases, and have strong skills in MLOps, CI/CD, and prompt engineering to

Qualifications

• 8–10 years of relevant experience in application development or systems analysis.
• Strong foundation in AI/ML, Generative AI, Machine Learning, NLP, Neural Networks, Statistics, and LLMs.
• Hands-on experience with multiple LLMs (Google Gemini, OpenAI, Anthropic Claude, Mistral, Llama).
• Deep hands-on experience with RAG pipelines and advanced RAG techniques.
• Experience building and deploying LLM-based applications using Vertex AI / Hugging Face.
• Strong Prompt Engineering, Prompt Tuning, and reusable prompt templates.
• Hands-on experience with Agentic AI frameworks.
• Experience with AI Guardrails, model evaluation, and GenAI safety.
• Strong experience with Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, LangChain, and LlamaIndex.
• Experience with Vector Databases such as Pinecone, PGVector, MongoDB Atlas, or Neo4j.
• Hands-on experience deploying GenAI/ML solutions to production.
• Strong understanding of MLOps, CI/CD, model evaluation, and deployment pipelines.
• Experience with Jenkins, GitLab CI, Azure DevOps, or ArgoCD.
• Hands-on experience with Kubernetes or OpenShift.

Skills

AI/ML

Generative AI

NLP

Neural Networks

Statistics

LLMs

Prompt Engineering

MLOps

CI/CD

Production AI

Tools

Vertex AI

Hugging Face

Pinecone

PGVector

MongoDB Atlas

Neo4j

Jenkins

GitLab CI

Azure DevOps

ArgoCD

Job description

We are looking for a Senior Python Developer with strong hands‑on experience in Generative AI, LLMs, RAG, and production AI solutions.

Required Skills

• 8–10 years of relevant experience in application development or systems analysis
• Strong foundation in AI/ML, Generative AI, Machine Learning, NLP, Neural Networks, Statistics, and LLMs
• Hands‑on experience with Google Gemini, OpenAI, Anthropic Claude, Mistral, Llama, or similar LLMs
• Deep hands‑on experience with RAG pipelines and advanced RAG techniques
• Experience building and deploying LLM‑based applications using Vertex AI / Hugging Face
• Strong Prompt Engineering, Prompt Tuning, and reusable prompt templates
• Hands‑on experience with Agentic AI frameworks
• Experience with AI Guardrails, model evaluation, and GenAI safety
• Strong experience with Pandas, NumPy, scikit‑learn, PyTorch, TensorFlow, Transformers, FastAPI, LangChain, and LlamaIndex
• Experience with Vector Databases such as Pinecone, PGVector, MongoDB Atlas, or Neo4j
• Hands‑on experience deploying GenAI/ML solutions to production
• Strong understanding of MLOps, CI/CD, model evaluation, and deployment pipelines
• Experience with Jenkins, GitLab CI, Azure DevOps, or ArgoCD
• Hands‑on experience with Kubernetes or OpenShift