The Senior Full Stack Developer is a hands-on role within the SalesSuperStar AI team, focused on building the core systems that power our AI-driven Custom Agent and integrated Light CRM platform. This role is critical to the development of a fast-moving, mission-critical MVP, ensuring that frontend, backend, integrations, and platform workflows come together in a scalable, reliable, and production-ready environment.

You will work across a cross-functional team that includes AI/ML Engineering, Telephony, DevOps, QA, and Full Stack development. Reporting to the Team Leader, you will play a central role in translating product and technical requirements into working systems, helping architect and deliver the platform from the ground up.

Success in this role requires strong full stack development capability, technical fluency across modern web and backend systems, experience with real-time and integrated platforms, and the ability to work effectively in a complex, fast-evolving environment.

Job Description – Senior Full Stack Developer – AI Digital Platform

Position Overview

We are building a next-generation AI Digital Platform that combines voice-enabled conversational AI, telephony integration, and a lightweight CRM into one seamless system. This is a high-impact, hands-on role where you’ll help architect and build production-grade systems that span AI, real-time telephony, and modern SaaS web applications.

Role Overview

As a Senior Full-Stack Developer, you will take ownership of critical components across our stack — from the CRM frontend/backend to the AI management orchestration system and its integrations. You will collaborate closely with our AI/ML engineers, who focus on STT, LLM, and TTS models, as well as our infrastructure team, ensuring that data, APIs, and workflows are robust, scalable, and reliable. You will thrive if you enjoy working in high-

performance, real-time systems and have experience bridging frontend usability with backend orchestration.

Key Responsibilities

Backend & API Development

• Build and maintain FastAPI/Node.js services powering the AI Management System, including call orchestration, dialogue state, and outcome extraction.
• Design clean REST APIs and Webhooks for CRM, telephony, and automation integrations, for example n8n.
• Implement robust data models in PostgreSQL and caching/queuing via Redis.

Frontend & CRM Development

• Lead development of the CRM operator console using React/Next.js.
• Create dashboards for lead management, call outcomes, and campaign analytics.
• Ensure intuitive UI/UX for sales teams monitoring AI calls.

Systems Integration

• Integrate backend services with telephony platforms such as Asterisk, FreeSWITCH, SignalWire, and Twilio
• Connect AI pipeline outputs, including STT, LLM, and TTS, to CRM outcomes.
• Implement flexible adapters for direct CRM API connections and workflow automation via n8n.

Scalability & Observability

• Optimize system performance for high-volume concurrent calls.
• Implement monitoring, logging, and alerting with Prometheus, Grafana, and Sentry.
• Ensure fault tolerance and horizontal scalability of orchestration and web services.

Collaboration & Leadership

• Work closely with AI developers, including those focused on LLM and speech models, to ensure seamless integration.
• Participate in architectural reviews, code reviews, and mentoring junior developers.
• Contribute to the technical roadmap and best practices for CI/CD, testing, and security.

Key Qualifications – Must Have

• 7+ years of full-stack development experience.
• Strong expertise in Python and/or Node.js, including FastAPI - Proficiency in React/Next.js for frontend web applications.
• Solid experience with PostgreSQL and Redis, including queues, caching, and pub/sub messaging (e.g., Kafka, RabbitMQ, or similar)
• Proven ability to design, build, and scale REST APIs and distributed systems.
• Familiarity with telephony stacks such as Asterisk, FreeSWITCH, SignalWire, or Twilio.
• Experience integrating external SaaS APIs, including CRMs and automation tools.
• Experience supporting custom AI agent development, including RAG architectures, prompt and context orchestration, memory frameworks
• Experience evaluating and improving LLM outputs, including prompt iteration, response quality assessment, and basic evaluation frameworks

Nice to Have

• Experience deploying and running open-weight LLMs (e.g., LLaMA) locally using tools like vLLM, Ollama, or similar inference frameworks
• Familiarity with lightweight fine-tuning techniques (e.g., LoRA / QLoRA) and tools like Hugging Face Transformers / PEFT
• Prior experience building high-throughput sales or communications platforms. - Familiarity with feature flagging, A/B testing, and experimentation frameworks.

Understanding DevOps in cloud environments such as AWS or Azure; Docker and Kubernetes are a plus.

Closing Profile

This role is for someone who thrives in building complex systems end-to-end, enjoys solving real-time, distributed challenges, and wants to see their work directly power a live AI sales platform.

Diversity & Accessibility

At OWE, we believe that diverse perspectives fuel innovation. We are committed to fostering an inclusive environment that values equity and accessibility. If you require accommodations at any stage of the hiring process, please contact us at recruitment@ontariowholesaleenergy.com — we’ll be happy to assist.