Senior AI Engineer

mobileLIVE; Canada; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading IT Services and Consulting company in Canada is looking for an experienced AI professional to lead the technical design and enhance project estimations using cutting-edge AI technologies. Ideal candidates will have over 8 years of experience with a strong background in Python and LLM design, along with leadership experience. The role offers opportunities for professional growth in a flexible and supportive environment.

Benefits

Discounts on shopping

Health and dental insurance

Office smoothie bar

Qualifications

• 8+ years in data/ML/AI engineering with hands-on delivery.
• 3-5+ years leading teams technically on shipped projects.
• Expert in Python and LLM design.

Responsibilities

• Lead technical delivery across data pipelines and ML services.
• Define an AI-aware Definition of Done.
• Calibrate model responses against benchmarks.

Skills

Python

LLM design

Data transformation

Machine learning

Agile methodology

Tools

LangChain

Azure OpenAI

Airflow

Job description

Who we are

mobileLIVE is one of the fastest-growing IT Services and Consulting companies in Canada and serves some of the most iconic brands, including Google, Loblaws, Staples, Telus, Bell, Rogers, CIBC, BMO, CMLS, Fossil, Fitbit and more.

Over the last decade, we have achieved 100% client retention and earned more than 20 notable industry recognition. This reflects our reliability in delivering what we promise and the quality we bring to every engagement.

Join our growth-driven culture and help us lead, innovate, and simplify. We are looking for a team members who embody our values:

• Empathetic - we listen, we understand, and are considerate of everyone
• Persevering - we dont give up on challenges or people and go all the way
• Inclusive - we value everyone and their perspectives
• Reliable - we deliver what we promise, and more
• Innovative - we make things better than they were yesterday

The Role

Lead the technical design, develop, and fine-tune the CIW Estimation Agent’s core intelligence using RAG, LLM reasoning, and Azure AI integration to improve accuracy, explainability, and reliability of project estimations.

You Will

• You will lead Day-to-day technical delivery across pods: data pipelines, ML services, LLM/RAG and agentic applications.
• Pair with engineers to design, code, debug, and review PRs; remove blockers quickly and pragmatically.
• Partner with the PM on ceremonies and timelines while you own scope control, technical decisions, and release readiness.
• Define and enforce an AI-aware Definition of Done (DoD) that covers code, data, and models: unit/integration tests, data-quality checks, model evaluation & safety/bias gates, deterministic structured outputs, latency/throughput & cost SLOs, and rollback plans.
• Build, test, and optimize LLM-driven estimation logic.
• Integrate models via LangChain and Azure OpenAI APIs.
• Calibrate model responses against SME benchmarks.
• Collaborate with DevOps for deployment and monitoring.
• Document model behavior, performance, and improvement cycles.

Who You Are

• You are a seasoned AI professional skilled in applied LLM design.
• 8+ years in data/ML/AI engineering with hands-on delivery in consulting or product teams.
• 3-5+ years leading engineers technically (tech lead, lead engineer, or similar) on shipped projects.
• Expert in Python, LangChain, OpenAI/Azure OpenAI, embeddings, and retrieval.
• Data & orchestration: data transformation, feature stores, SQL modelling, Airflow/Prefect (or similar), CI for data. Experience with vector databases and hybrid/graph retrieval; embedding pipelines.
• ML/LLM app dev: model training/fine-tuning basics; LLM/RAG app patterns (retrieval, prompt/version management, evaluators); Agent Ops concepts (tools/functions, planners, memory/state, multi-agent patterns).
• Quality & governance: testing (unit/integration), data contracts, PII handling, lineage, safety/bias considerations for AI systems. Exposure to evaluation frameworks (e.g., task success scoring, guardrail tooling) and human-in-the-loop review.
• Nice-to-have: Familiarity with retrieval pipelines (ElasticSearch, Weaviate), enterprise chatbot UX design, MLOps.

What to expect

• Purposeful Work: autonomy, resources, and time you need to do what matters for our clients and most importantly — you
• Positive Environment: recognition coupled with a flexible environment that celebrates diversity, inclusivity and encourages everyone to achieve their best
• Growth & Development: opportunities to grow professionally and personally through mentorship, training, and development programs
• Transparency & Trust: direction, purpose, mission, and expectations are never a secret; you will always know where you stand as well as where you are going
• Exclusive Perks: discounts on shopping, the gym, insurance, mobile phone plans, not to mention an office smoothie bar and enough coffee to make you vibrate
• Meaningful Benefits: life happens. You will get health, dental, vision, disability, travel insurance, and much more all covered by us
• Unforgettable Events: team bonding, BBQs, office lunches (pizza, always pizza), gala dinners, and any other excuse to have fun

Inclusion and equal opportunity employment

mobileLIVE is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status, or any other legally-protected factors. Disability-related accommodation during the application process is available upon request.

Are you ready to join the award-winning team and help us accelerate digital transformation?