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 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

Besides Competitive Salary and working for one of Canadas Best Managed and Top 50 Technology Companies, you should 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?

Jobs at mobileLIVE

Apply to Senior AI Engineer