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PYTHON DEVELOPER - GENAI / AI

  • Mississauga, ON
  • On-site
  • Posted Aug 26, 2026
  • 1 position

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Employment type
Full-time
Experience level
Lead · 10+ years
Apply by
Feb 22, 2027
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Build and deploy enterprise-grade AI solutions using Generative AI, LLMs, and RAG pipelines. Integrate AI capabilities with enterprise applications using APIs, knowledge graphs, and orchestration tools.

Job details

NOW HIRING: PYTHON DEVELOPER GENAI / AI Location: Mississauga, Ontario, Canada Client: Citi Bank Employment: Full-Time Overall Experience: 10 Years Relevant Experience: 8 10 Years Role Overview Looking for a Python Developer with strong expertise in Generative AI, LLMs, RAG, Agentic AI, Data Engineering, and MLOps to build and deploy enterprise-grade AI solutions. Core Ai/Ml & Genai Skills GenAI, Machine Learning, Data Science, Statistics, NLP, Neural Networks, and LLMs. Hands-on experience with Google Gemini, OpenAI, Anthropic Claude, Mistral, Llama, and open-source LLMs. Strong hands-on expertise with RAG pipelines and advanced RAG techniques. Experience with Vertex AI, Hugging Face, and LLM application development. Prompt engineering, prompt tuning, and reusable prompt templates. Agentic AI frameworks and use-case implementation. Guardrails and GenAI performance/safety evaluation. PYTHON & DATA ENGINEERING Strong Python programming. Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Transformers. FastAPI, Seaborn, LangChain, LlamaIndex. GenAI integration with enterprise applications using APIs, knowledge graphs, and orchestration tools. Vector databases: PGVector, Pinecone, MongoDB Atlas, Neo4j. Experience handling large-scale unstructured data and high-throughput processing. DEPLOYMENT & MLOPS Production deployment of GenAI-based models. MLOps, model evaluation, and deployment pipelines. CI/CD: Jenkins, GitLab CI, Azure DevOps, ArgoCD. Kubernetes / OpenShift for cloud-native application deployment and scaling. Soft Skills Strong problem-solving and analytical skills. Excellent collaboration and communication. Ability to work independently on complex and ambiguous problems. SEND RESUME rachael@sidramtech.com Please Share Updated Resume Work Authorization Current Location Availability Contact Details Active PMP Certification Follow Sidram Technologies for daily US IT jobs, Full-Time & Contract opportunities, interview tips, and hiring updates. hashtag#PythonDeveloper hashtag#Python hashtag#GenerativeAI hashtag#GenAI hashtag#AIEngineer hashtag#LLM hashtag#RAG hashtag#AgenticAI hashtag#AIAgents hashtag#MachineLearning hashtag#DataScience hashtag#NLP hashtag#OpenAI hashtag#Gemini hashtag#Claude hashtag#Mistral hashtag#Llama hashtag#VertexAI hashtag#HuggingFace hashtag#LangChain hashtag#LlamaIndex hashtag#FastAPI hashtag#PyTorch hashtag#TensorFlow hashtag#MLOps hashtag#Kubernetes hashtag#OpenShift hashtag#VectorDatabase hashtag#Pinecone hashtag#Neo4j hashtag#Pandas hashtag#NumPy hashtag#CitiBank hashtag#MississaugaJobs hashtag#OntarioJobs hashtag#CanadaJobs hashtag#FullTimeJobs hashtag#HiringNow hashtag#SidramTechnologies

What you’ll do

Build and deploy enterprise-grade AI solutions using Generative AI, LLMs, and RAG pipelines. Integrate AI capabilities with enterprise applications using APIs, knowledge graphs, and orchestration tools.

Requirements

Requires 10 years of overall experience with 8-10 years of relevant experience in Python and AI/ML. Must have expertise in LLM frameworks, MLOps, and cloud-native deployment using Kubernetes or OpenShift.

Listed skills

  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Python
  • Generative AI
  • LLMs
  • RAG
  • Agentic AI
  • MLOps
  • Data Engineering
  • Google Gemini
  • OpenAI
  • Vertex AI
  • LangChain
  • LlamaIndex
  • FastAPI
  • PyTorch
  • TensorFlow
  • Vector Databases

Job areas

  • Software
  • Technology
  • Data & Analytics
  • Engineering
  • Finance & Accounting

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