Technical Lead (Remote, Any Province, CA)

🏢 Foundever · all Foundever jobs (73)
📍 Canada
📅 Posted 2026-09-07 · via Himalayas
🏷 AI-Engineering,Technical-Lead,Machine-Learning-Engineering,Software-Development-Leadership,AI-Product-Development,Technical-Engineering-Lead,Technical-Lead-Engineer,Technical-Development-Lead,Developer
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About Us

Foundever ™ is a global leader in the customer experience (CX) industry. With 130,000 associates across the globe, we are the team behind the best experiences for +750 of the world’s leading and digital-first brands. Our innovative CX solutions, technology, and expertise are designed to support operational needs for our clients and deliver a seamless experience to customers in the moments that matter.  

We are looking for a technical lead to join our team and drive the development of our AI-driven applications.

Job Summary

We are seeking a Lead Engineer with a strong AI/ML engineering focus to join our growing AI team. You will design, build, and deploy production-grade AI-driven applications — from intelligent agents to RAG integrations into productivity SaaS to optimized headless services and Data Bases.Working closely with machine learning engineers, cloud engineers, product managers, and UX/UI designers, you will bring AI SaaS from prototype to production, ensuring our applications are robust, performant, and secure.

This role requires strong programming skills in Python (FastAPI), hands-on experience with AI/LLM response API, MCP tool calling, and practical knowledge of working with large language models. You should be comfortable working in a fast-paced, agile environment where priorities may shift, and be willing to own problems end-to-end.

Primary Job Responsibilities

- Lead a diverse, inclusive, high-performing engineering team

- Build systems and tools that increase our deployment velocity and help develop our technical roadmap and prioritization

- Contribute meaningful amounts of clean, efficient, tested, and scalable code

- Ensure projects are on track, your team is utilized effectively, and core engineering needs are continuously addressed

- Communicate well with other engineering or product teams, take responsibility in broadcasting information internally (documentation) or externally (all hands, demos)

- Collaborating with data, ML, and DevOps engineers

- Build and optimize RAG (Retrieval-Augmented Generation) pipelines for intelligent document retrieval and conversational AI

- Develop and integrate agentic workflows using LangGraph and LangChain for multi-step reasoning and tool use

- Integrate and orchestrate large language models (Claude, OpenAI GPT) into production systems, including prompt engineering, model selection, and output evaluation

- Develop scalable, well-documented RESTful APIs for seamless front-end and back-end communication

- Collaborating with UX/UI designers in Figma

- Ensuring the security and performance of the application’s server-side logic

- Troubleshooting and debugging issues to optimize the application's functionality

- Developing APIs for seamless front-end–back-end communication

- Keeping up-to-date with industry trends and emerging technologies

- Monitoring application performance and usage

- Keeping up-to-date with industry trends and emerging technologies

- Monitoring application performance and usage

Experience:

- Minimum of 5 years of experience in software development, with a focus on JavaScript frameworks and web applications

- Proven expertise in scalable web application with modern frameworks

- Used to work in an Agile environment

Skills/Abilities/Knowledge

- Strong programming skills in Python

- Proficiency in one or more back-end frameworks: Fast API

- Proficient in Vue.JS (preferred) or React

- Experience with Git and its CI/CD tools

- A continuous learning mindset to stay up-to-date with evolving web and cloud technologies

- Strong knowledge of database management systems (e.g., MySQL, PostgreSQL, and MongoDB)

- Understanding of server-side architecture and RESTful APIs

- Troubleshooting and debugging skills

- Familiarity with cloud computing platforms (e.g., AWS and Azure)

- Familiarity with security best practices

- Familiarity with Machine Learning model training and inference, especia

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