Applied AI Engineering Lead

We are looking for an experienced Applied AI Engineering Lead with 6 to 8 years of overall experience to actively engage in the engineering craft, taking a hands-on approach to multiple high-visibility projects.

What You Will Do

Deliver solutions that delight customers and users, while also driving tangible value for business investments. Leverage your engineering craftsmanship and proficiency across multiple programming languages and modern frameworks.

Why It Might Be a Fit

The ideal candidate will be a role-model leader and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions, while actively leveraging AI and agentic tools across the engineering lifecycle.

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 GCP, 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.