Posted 3 months ago
PYTHON DEVELOPER - GENAI / AI
@ SIDRAM TECHNOLOGIES
Mississauga, Ontario
Requirements summary:
- Overall Experience: 10 Years
- Relevant Experience: 8 10 Years
- Hands-on experience with Google Gemini, OpenAI, Anthropic Claude, Mistral, Llama, and open-source LLMs.
- Experience with Vertex AI, Hugging Face, and LLM application development.
- GenAI integration with enterprise applications using APIs, knowledge graphs, and orchestration tools.
- Experience handling large-scale unstructured data and high-throughput processing.
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-08-25
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
SIDRAM TECHNOLOGIES
| Field | Value |
|---|---|
| Open jobs on Jobsy | 7 |
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.
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