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iVedha Inc.

Senior AI Full Stack Developer

iVedha Inc.
Toronto, OH $75k+/yr Full time Posted 6d ago
Backend Developer Senior APIs Application Security Architecture Artificial Intelligence Automation Azure Cloud Data Engineering Cloud Infrastructure Cloud Native Cloud Operations Cloud Platform Cloud Platforms Cloud Platforms Cloud Platforms Cloud Technology Data Analytics Data Engineering Data Processing DevOps DevSecOps Engineering Engineering Software Frontend Full Stack Ai Generative AI Google Cloud Infrastructure As Code Integration Kubernetes Large Language Models Machine Learning Microservices Platform Engineering Programming Programming Language Programming Languages Rag Architectures Security Automation Software Architecture Software Development Software Engineer Software Engineering Software Security Web Design Web Technologies
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Job Description

iVedha Inc. is hiring a Senior AI Full Stack Developer in Toronto, OH (onsite) to build scalable enterprise applications that combine modern full stack engineering with production-grade AI, Machine Learning, and Generative AI. This role focuses on delivering end-to-end solutions, from backend services and APIs to AI/ML integration, deployment, monitoring, and operational support.

What you’ll build

  • AI-enabled web applications and enterprise platforms with integrated Machine Learning and Generative AI capabilities.
  • Backend services, microservices, and REST APIs using Python and frameworks such as FastAPI, Flask, or Django.
  • Responsive frontend applications with JavaScript/TypeScript and React, Angular, or equivalent frameworks.
  • LLM-based solutions including RAG, embeddings, vector search, AI agents, and tool/function calling.
  • Data ingestion and retrieval pipelines for AI applications, including preprocessing, transformation, and retrieval support.
  • Production AI integration with platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, or OpenAI (or equivalents).
  • Traditional ML/Deep Learning implementations when they fit the problem.
  • Operational delivery through Docker and Kubernetes deployment, along with testing, CI/CD, monitoring, and production support.

Responsibilities

  • Design and develop end-to-end AI-enabled web applications and enterprise platforms.
  • Develop backend services, microservices, and APIs with Python and modern frameworks like FastAPI, Flask, or Django.
  • Build frontend applications using JavaScript/TypeScript and React, Angular, or equivalent frameworks.
  • Integrate AI/ML and Generative AI into enterprise applications.
  • Implement LLM-based approaches using RAG, embeddings, vector search, AI agents, and tool/function calling.
  • Create data ingestion, preprocessing, transformation, and retrieval pipelines.
  • Integrate with AI platforms including Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI, or equivalent.
  • Develop and operationalize traditional Machine Learning / Deep Learning models where appropriate.
  • Implement secure APIs, authentication, authorization, data protection, and application security controls.
  • Work with SQL, NoSQL, vector databases, JSON, and API-based data sources.
  • Containerize and deploy using Docker and Kubernetes.
  • Build automated testing, CI/CD, monitoring, and production-support capabilities.
  • Collaborate with Product, Data Science, AI/ML, Architecture, Cloud, Security, and Engineering teams.

Requirements

  • 7+ years of software engineering / application development experience.
  • Strong hands-on Python development.
  • Production experience building backend services and REST APIs.
  • Hands-on experience with modern frontend technologies such as JavaScript, TypeScript, React, Angular, or equivalent.
  • Hands-on experience developing and deploying AI/ML applications and integrating AI/ML into production software.
  • Strong understanding of Machine Learning, NLP, and Deep Learning concepts.
  • Experience with Generative AI, LLMs, and RAG architectures.
  • Experience with SQL, NoSQL, and structured/semi-structured data.
  • Experience developing applications in AWS, Azure, or GCP.
  • Hands-on experience with Docker, Kubernetes, Git, and CI/CD.

Technologies

Python, FastAPI, Flask, Django, JavaScript, TypeScript, React, Angular, REST APIs, microservices, Machine Learning, Deep Learning, Generative AI, LLMs, RAG, embeddings, vector databases, NLP, Docker, Kubernetes, Git, CI/CD, AWS, Azure, GCP, Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI, SQL, NoSQL, JSON, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, MLflow, pgvector, Pinecone, FAISS, Weaviate, Qdrant.

AI / ML skills

  • Large Language Models, Retrieval-Augmented Generation, prompt engineering
  • AI agents and tool calling
  • Vector search and embeddings, NLP and text-processing pipelines
  • Machine learning model development and deep learning
  • Model inference and application integration
  • AI evaluation and observability, including model/API performance monitoring
  • AI guardrails and hallucination reduction, AI security and data privacy
  • Responsible AI and governance

Education

Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related discipline. A Master’s degree in Computer Science, AI/ML, Data Science, or related discipline is preferred.

Compensation and work location

Pay: From $75,000.00 per year
Work location: In person

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