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Added 3 mins ago
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JREQ203081 Staff Software Engineer I (Open)
Thomson Reuters
Toronto, ON
- Full-time
Build and own the shared development and testing infrastructure - common libraries, scaffolding generators, mock services, and local environments, built on the team’s Python, FastAPI, and…
Added 5 mins ago
Senior Software Developer, Mobile (iOS), Platforms and Devices
Google
Waterloo, ON
…qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology…
Added 5 mins ago
M
Software Engineer II, Core Edge Processing
Marqeta
Remote, Canada
- Full-time
- Remote
Ship production code across our routing and processing stack, with senior engineers in your corner
Added 5 mins ago
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Staff Software Engineer - Core Edge Processing
Marqeta
Remote, Canada
- Full-time
- Remote
Ship and refine production code across our routing and processing stack, where every millisecond and every line counts
Added 20 mins ago
Software Engineer I
RAM Engineering Ltd.
Vancouver, BC
…early-career Software Engineer who already has some professional development experience and is looking to continue building their skills across full-stack development, cloud technology,…
Added 20 mins ago
FA
Full Stack Developer (AI-Native)
Forum Asset Management
Toronto, ON
- Full-time
We are seeking two (2) Full Stack Developers to join our tech team and build the applications and agentic systems that teams across Forum run on. This role owns the entire development…
Added 1 hour ago
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Senior Full Stack Engineer, Customer & Cardholder Experiences
Marqeta
Remote, Canada
- Full-time
- Remote
We are looking for a Senior Full Stack Software Engineer to join our Customer & Cardholder Experiences team, delivering innovative UIs and embeddable solutions to transform the experience…
Added 1 hour ago
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Backend Java Developer, Vice President
Citi
Mississauga, ON
- Full-time
The work will include strategic state-of-the-art solutions using new stack development using Agile/ DevOps high standard/ Micro services/ Docker for application hosting. Candidate will be…
Added 1 hour ago
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Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
…applications involving multiple back-end systems. As a Consultant, Full Stack Developer, you’ll develop, implement, and maintain accurate and user-friendly solutions that enhance compliance…
Added 2 hours ago
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Software Engineer II - Angular / UI
TD
Toronto, ON
- Full-time
○ Experience in full-stack application development.
Added 2 hours ago
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Lead UI Developer - VP
Citi
Mississauga, ON
- Full-time
…globally. Unified FITP, built on state of the art technology stack processes around 200,000 transactions daily and provides real time position, risk management capabilities. It has…
Added 4 hours ago
LT
Senior Dotnet Developer
Lorven Technologies Inc.
Mississauga, ON
- Contract
Solid understanding of Agile / Scrum practices and the full software development lifecycle.
Added 4 hours ago
ND
AI Solution Architect/FDE (AWS and Azure)
NTT DATA North America
Toronto, ON
- Other
We are seeking an experienced AI Lead/Solutions Architect to drive artificial intelligence and machine learning initiatives across RBC. This role requires a strategic leader who can…
Added 4 hours ago
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Software Engineer II - Angular / UI
TD
Toronto, ON
- Full-time
○ Experience in full-stack application development.
Added 4 hours ago
TC
Technical Lead
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 5 hours ago
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Software Engineer, AI
Pebl
Remote, Canada
- $109,200 to $140,000 CAD / year
- Full-time
- Remote
This is a full-stack role that leans backend: most of your work will be in the APIs, data models, and infrastructure behind our LLM-based product, but you'll also touch the frontend where a…
Added 6 hours ago
Sr Software Dev Engineer III, RDS for Oracle
Amazon
Vancouver, BC
As a Software Development Engineer III on the RDS for Oracle team, you will own the design and implementation of complex features that scale to millions of database instances. You will work…
Added 6 hours ago
K
Senior Web Developer (Full Stack)
Klick
Toronto, ON
- Full-time
…supporting services for life sciences brands as part of Klick’s Full Stack + AI team. The role combines deep web engineering expertise with AI-native development practices, using coding…
Added 6 hours ago
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Senior Web Developer (Full Stack)
Klick
Toronto, ON
- Full-time
…supporting services for life sciences brands as part of Klick’s Full Stack + AI team. The role combines deep web engineering expertise with AI-native development practices, using coding…
Added 6 hours ago
TC
.NET Full stack Developer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 9 hours ago
G
Senior Software Developer, Mobile (iOS), Platforms and Devices
Google
Waterloo, ON
- Full-time
…qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology…
Added 12 hours ago
Android XR Application Compatibility AI Technical Lead
Google
Waterloo, ON
…qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.For decades, the computing revolution has reshaped our world driven…
Added 15 hours ago
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Senior Manager, Organic Growth
Mistplay
Toronto, ON
- $120,000 to $165,000 CAD / year
- Full-time
…problems that do not yet have an obvious playbook. You will lead an internal team and external agency partners while working closely with performance marketing/UA, product, brand, and…
Added 16 hours ago
TI
Digital Marketing & Automation Manager - Bravo Insurance Services Ltd.
The InsureBC Group
Vancouver, BC
- Full-time
…greenfieldposition - we have existing systems, campaigns, and a tech stack in place - butwe need someone who can hit the ground running and immediately begin furthermodernizing our digital…
Added 17 hours ago
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Lead, AI Engineering
Bain & Company
Zurich, ON
- Full-time
The Lead AI Engineer will design, build, and ship generative AI systems and agentic solutions for Bain’s clients. You will contribute across the full development lifecycle - from early…

Bain & Company

Lead, AI Engineering

Zurich, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 4, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

What Makes Us A Great Place To Work

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

About Bain AI, Insights & Solutions (AIS)

Bain’s AI, Insights & Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You’ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.

The Impact You’ll Have

Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization.

As an AI Engineer in AIS, you will build the technical core of these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries.

The Role

The Lead AI Engineer will design, build, and ship generative AI systems and agentic solutions for Bain’s clients. You will contribute across the full development lifecycle - from early experimentation and prototyping through to production deployment - collaborating closely with senior engineers, product managers, and data scientists. This is a hands-on individual contributor role with growing influence on technical direction and an opportunity to begin mentoring more junior team members.

You will have opportunities to work with major AI ecosystem partners through Bain’s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings. Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time.

What You’ll Do

Contribute to the design, development, and deployment of end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
Build and iterate on multi-component AI pipelines, including:

Retrieval-Augmented Generation (RAG)
Fine-tuning and parameter-efficient tuning
Embedding generation and optimization
Hybrid retrieval strategies (vector, graph, keyword)

Implement reasoning, tool use, function calling, and orchestration across AI workflows
Build and contribute to agentic systems, applying sound engineering principles around separation of concerns, memory architecture, and tool integration
Contribute across the full stack: model experimentation, evaluation design, and production system deployment
Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliability
Support and help build GenAIOps processes for automated testing, regression evaluation, latency monitoring, and continual improvement
Balance performance, safety, responsible AI principles, and cost across system design:

Implement guardrails, fallbacks, red-teaming strategies, and human-in-the-loop (HITL) workflows
Partner with global ethics teams to ensure alignment with Bain’s Responsible AI standards

Build automated evaluation suites integrating user signals, continual learning cycles, and ongoing model updates
Design and implement evaluation frameworks covering:

Hallucination rate and factual consistency
Relevance and precision/recall
Latency, throughput, and system-level performance
Cost tracking and efficiency

Partner closely with product, engineering, data science, ethics, and infrastructure teams to build robust, compliant AI systems
Contribute technical insights and communicate findings clearly to cross-functional stakeholders and, where relevant, clients
Share knowledge with peers and support a culture of technical learning around RAG, agents, prompt engineering, and AI safety

What We’re Looking For

3–5+ years in software engineering, ML engineering, or applied AI roles with hands-on building responsibilities
German language proficiency at C1 level or higher
Demonstrated experience shipping generative AI features or systems end-to-end, from prototyping through production
Clear communication skills with the ability to explain technical concepts to non-technical collaborators and stakeholders
Demonstrated ability to collaborate effectively across engineering, product, and data science teams; some experience supporting or informally mentoring peers is a plus
Solid prompt engineering and context engineering skills; familiarity with conversation design principles
Working knowledge of evaluation design, experimentation frameworks, and data labelling strategies for LLM applications
Experience with:

RAG architectures (vector-based retrieval; exposure to hybrid or graph-based approaches is a plus)
Agentic patterns (tool use, routing, memory management; multi-agent systems experience is a plus)
ReAct, RLAIF, and other HITL + feedback loops.
AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases, and Model + API ecosystems

Strong background in system design, architecture, and production-grade deployment
Familiarity with cost and latency tradeoffs when working with LLM workloads
Comfort operating in high-ambiguity environments with collaborative cross-functional teams
Eagerness to grow into a technical leadership role and support junior team members
Experience in client-facing consulting or enterprise transformation environments is a strong plus

Working Model & Travel

This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.
Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.

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More about this job

Responsibilities

Design, build, evaluate, and deploy production-grade generative AI systems, including RAG pipelines, multi-agent workflows, APIs, and cloud-native services. Improve system reliability, safety, performance, and cost while collaborating with cross-functional teams and supporting technical learning and junior colleagues.

Requirements

Candidates need 3–5+ years of hands-on software engineering, machine learning engineering, or applied AI experience, German proficiency at C1 level or higher, and experience shipping generative AI systems from prototype to production. They should have knowledge of RAG, agentic patterns, evaluation methods, production system design, and LLM cost and latency tradeoffs; client-facing experience and peer mentoring are advantages.

Skills

Generative AI Engineering
Retrieval-Augmented Generation
Agentic Systems
Prompt Engineering
Context Engineering
AI Evaluation
Machine Learning
System Design
API Development
Microservices
CI/CD
Cloud-Native Deployment
GenAIOps
Responsible AI
German Language Proficiency

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Retrieval-Augmented Generation
Fine-Tuning
Parameter-Efficient Tuning
Embedding Generation
Hybrid Retrieval
Vector Databases
Graph Databases
Keyword Search
Multi-Agent Workflows
Agentic Systems
Tool Use
Function Calling
Orchestration
ReAct
RLAIF
Human-in-the-Loop
Prompt Engineering
Context Engineering
Conversation Design
Evaluation Frameworks
Data Labeling
GenAIOps
CI/CD
APIs
Microservices
Cloud-Native Deployment
Observability
Responsible AI
Model Monitoring

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