Find & Apply For Software Developer / Engineer Jobs in Toronto, Ohio

Position Summary We are seeking an experienced Senior AI Full Stack Developer to design, develop, and deploy scalable enterprise applications with integrated AI, Machine Learning, and Generative AI capabilities . The ideal candidate will combine strong software engineering and full stack development skills with hands-on experience building production AI solutions. Strong expertise in Python, APIs, modern web technologies, cloud platforms, data processing, and AI/ML frameworks is required. Experience within Banking, Financial Services, Capital Markets, or other regulated environments is strongly preferred. Key Responsibilities Design and develop end-to-end AI-enabled web applications and enterprise platforms. Develop backend services, microservices, and APIs using Python and modern frameworks such as FastAPI, Flask, or Django. Develop responsive frontend applications using JavaScript/TypeScript and React, Angular, or equivalent frameworks. Build and integrate AI/ML and Generative AI capabilities into enterprise applications. Develop solutions using LLMs, RAG, embeddings, vector search, AI agents, and tool/function calling. Build data ingestion, preprocessing, transformation, and retrieval pipelines supporting AI applications. Integrate applications with Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI, or equivalent AI platforms. 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 applications 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. Required Experience 7+ years of software engineering / application development experience. Strong hands-on development experience with Python. Strong experience developing production backend services and REST APIs. Experience with modern frontend technologies such as JavaScript, TypeScript, React, Angular, or equivalent. Hands-on experience developing and deploying AI/ML applications. Experience integrating AI/ML models into production software applications. Strong understanding of Machine Learning, NLP, and Deep Learning concepts. Experience with Generative AI, LLMs, and RAG architectures. Experience working 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. Core Technical Skills Python, FastAPI / Flask / Django JavaScript / TypeScript React / Angular or equivalent REST APIs / Microservices Machine Learning / Deep Learning Generative AI / LLMs

RAG, NLP

Embeddings / Vector Databases SQL / NoSQL Docker / Kubernetes Git / CI/CD AWS / Azure / GCP AI / ML Skills Strong experience or understanding of: Large Language Models Retrieval-Augmented Generation Prompt Engineering AI Agents / Tool Calling Vector Search and Embeddings NLP and text-processing pipelines Machine Learning model development Deep Learning Model inference and application integration AI evaluation and observability Model/API performance monitoring AI guardrails and hallucination reduction AI security and data privacy Responsible AI and governance Experience with technologies such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, MLflow, or equivalent is desirable. Full Stack / Engineering Skills Full stack application architecture Backend API development Modern web application development Microservices and distributed systems Authentication and authorization Application and API security Database integration Cloud-native application development Automated testing CI/CD pipelines Application monitoring and troubleshooting Scalable and highly available application design Preferred Qualifications Experience within Banking, Financial Services, Capital Markets, Payments, Insurance, or another highly regulated industry. Experience delivering AI/ML solutions within financial institutions. Experience developing customer-facing or enterprise-grade AI products. Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent enterprise AI platforms. Experience with vector databases such as pgvector, Pinecone, FAISS, Weaviate, Qdrant, or equivalent. Experience with both traditional ML/Deep Learning and modern Generative AI. Experience with AI security, governance, privacy, and regulatory requirements. Experience taking solutions from prototype through production deployment and support. Soft Skills Strong analytical and problem-solving skills. Ability to work across software engineering and AI/ML teams. Ability to translate business requirements into scalable technical solutions. Strong communication and stakeholder-management skills. Ability to independently troubleshoot complex application and AI issues. Strong ownership of solution quality, scalability, security, and reliability. Education Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related discipline. Master's degree in Computer Science, AI/ML, Data Science, or related discipline is preferred.

Pay:

From $75,000.00 per year

Work Location:

In person