Lead AI Engineer

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related discipline.

• 6 to 8 years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.

• 2+ years of experience building AI/ML applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, and vector databases.

• 2+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or Google Cloud Platform, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI.

• Experience establishing or contributing to engineering standards, including mentoring and guiding team members in the adoption and continuous improvement of these standards.

• Prior software engineering experience with understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and AI-augmented spec-driven development.

• Prior experience using methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) to deliver high-quality products rapidly.

• Ability to work in your local office at a minimum of 3 days per week.

• Limited immigration sponsorship may be available.

• Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.

• Ability to work independently and collaborate as part of a team.

• Effective written and verbal communication skills.

• Meticulous attention to detail and quality of work product.

• Ability to build and sustain professional relationships.

• Ability to lead projects or workstreams.

• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.

• Strong interpersonal skills and professional demeanor.

• Ability to meet deadlines.

• Ability to mentor and provide clear guidance to others.