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Added 3 hours ago
Senior AI Engineer
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Full-time
…retrieval-augmented generation (RAG) solutions, intelligent agents, automation workflows, and reusable AI platform capabilities. The ideal candidate has a proven record of taking complex…
Added 3 hours ago
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Full-time
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KYYBA Inc

Connected Vehicle Diagnostic Eng - AI/ML

Ottawa, ON, Canada
Kanata, ON, Canada

Job type: Contract
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

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Original job description

Job Title: ( Connected Vehicle Diagnostic Eng - AI/ML )

About Kyyba:

Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.

At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Job Description:

Job Description: We believe freedom of movement drives human progress. With our exciting plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow¿s transportation. Modern vehicles are increasingly software-defined, connected, and intelligent. Delivering a best-in-class ownership and service experience now depends on client ability to detect, understand, diagnose, and resolve complex software and electronics issues quickly and accurately. That is why client is investing in an End-to-End Software Diagnostics & Observability initiative focused on transforming how vehicle issues are understood across engineering, diagnostics, and service workflows. We are building state-of-the-art AI-powered Embedded Vehicle Diagnostics capabilities that combine vehicle signals, diagnostics, logs, engineering knowledge, service procedures, and intelligent reasoning to improve case quality, accelerate fault isolation, guide next-best actions, and support scalable human-in-the-loop escalation. This initiative sits at the intersection of embedded systems, cloud services, diagnostics, observability, and AI/ML engineering. Do you want to help define the future of AI-enabled diagnostics for next-generation vehicles cleints team is a fast-paced, highly collaborative organization that translates advanced technical strategy into deployable capabilities. If you are passionate about AI/ML, complex systems, embedded software, and solving real-world engineering problems at scale, consider joining our forward-thinking team. As a Systems Engineer ¿ End to End Software Diagnostics & Observability, you will work with a cross-functional team responsible for defining, integrating, and maturing intelligent diagnostic workflows that span embedded vehicle behavior, cloud-based observability, AI reasoning engines, and human support processes. This role is ideal for a highly capable recent graduate or early-career engineer from a top engineering, computer science, or AI/ML program who wants to work on real-world AI systems for software-defined vehicles.

Skills Required: Systems Development Life Cycle, Software Systems, Systems Engineering, Product Management, Systems Architecture, Systems Analyst

· Software Systems - Understand how an applications components work together, and help troubleshoot issues across the system.

· Systems Analyst - Gather and document user or business requirements, analyze current processes, and translate needs into functional specifications.

· Systems Architecture - Understand or help document how systems and components fit together, including integrations, data flows, and technology choices.

· Systems Development Life Cycle - Participate in the stages of system delivery, from requirements and design through development, testing, deployment, and maintenance.

· Systems Engineering - Help define system requirements and ensure components work together to meet performance, reliability, and operational needs.

· Product Management - Help prioritize features, maintain a product backlog or roadmap, and coordinate with stakeholders and development teams

Skills Preferred: Python, GCP, Java, Artificial Intelligence & Expert Systems

· Artificial Intelligence & Expert Systems - Understand or contribute to a basic AI or rules-based feature, such as classifying requests or recommending a next step, while recognizing when human review is needed.

· GCP - Use Google Cloud services to deploy or support an application, store data, or monitor a cloud-based system.

· Python - Write or maintain basic Python scripts for automation, data processing, or application functionality.

· Java - Write or maintain Java code for application features, business logic, and error handling.

Experience Required: 3-6 years of experience in AI/ML engineering, embedded software, systems engineering, cloud engineering, or related areas through internships, research, academic projects, or full-time work.

· Strong academic foundation in AI/ML engineering with practical familiarity in machine learning, LLMs, retrieval workflows, inference systems, model evaluation, and data pipelines. Strong proficiency in Python.

· Familiarity with AI/ML prototyping and engineering workflows, including training, inference, prompt-based systems, retrieval-augmented workflows, embeddings, ranking, or reasoning pipelines.

· Familiarity with software engineering fundamentals, APIs, Git-based development, and containerized application workflows. Interest in embedded systems, vehicle diagnostics, software-defined vehicles, and intelligent support workflows.

· Ability to translate ambiguous problem statements into structured technical requirements and system behavior. Strong written and verbal communication skills and requirements authoring with the ability to drive high level abstract conversations with leadership. Demonstrated ability through coursework, research, internships, or projects to build or prototype AI/ML enabled systems.

Experience Preferred: Education from a highly regarded engineering, computer science, or AI/ML program with strong evidence of technical rigor. Hands-on experience with LLMs, semantic retrieval, vector search, ranking systems, agent-based workflows, or decision-support systems. Experience with PyTorch, TensorFlow, scikit-learn, LangChain, Vertex AI, BigQuery, or similar AI/ML and cloud tools.

· Experience building chatbots, copilots, AI assistants, search systems, or reasoning systems. Familiarity with evaluation of AI systems for grounding, confidence, traceability, explainability, and policy compliance.

· Familiarity with embedded software systems, electronic control modules, diagnostics, or connected vehicle technologies.Exposure to DTCs, PIDs, Freeze Frame data, logs, vehicle network data, or diagnostic workflows.

· Familiarity with GCP, Docker, GitHub, CI/CD, and observability tools such as Dynatrace or Grafana. Experience through internships, research, or projects involving distributed systems, platform integration, or cloud-native services.

· Ability to work well in a collaborative, agile environment with software, embedded, cloud, AI, and product teams. Strong curiosity, ownership mindset, and willingness to learn quickly in a technically demanding domain. Ability to be detail oriented while understanding broader system and product goals.

Education Required: Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Artificial Intelligence, Machine Learning, Robotics, Data Science, or related field

Additional Info: Help define system-level requirements, interfaces, and workflows for Clients End to End Software Diagnostics & Observability initiative.

· Support development of AI-powered embedded vehicle diagnostics capabilities that improve issue detection, case intake quality, root-cause isolation, and guided repair.

· Work across embedded, cloud, data, and AI/ML domains to connect vehicle diagnostics with intelligent reasoning and observability workflows.

· Help translate business, service, and engineering needs into technical requirements for diagnostic systems, AI engines, APIs, workflow orchestration, and support tooling.

· Support AI/ML driven capabilities such as case intake assistance, knowledge retrieval, diagnostic reasoning, decision support, validation, and orchestration.

· Define and refine requirements for diagnostic evidence collection, including DTCs, PIDs, Freeze Frame data, logs, event traces, module state, and procedural outcomes.

· Support design of systems that combine client engineering knowledge, diagnostics data, and AI reasoning to isolate likely root causes in embedded vehicle systems.

· Participate in evaluation and validation of AI system behavior using diagnostic evidence, service data, engineering content, and observability signals.

· Work with internal teams and suppliers to integrate containerized AI solutions into client-managed cloud environments and workflow systems.

· Help define observability requirements for diagnostic systems, including logs, metrics, traces, dashboards, alerts, and escalation workflows.

· Participate in system integration, issue triage, root-cause analysis, and cross-functional technical problem solving.

· Support rapid iteration, testing, and deployment of AI-enabled diagnostic capabilities into engineering and non-production environments.

· Communicate technical tradeoffs, risks, and recommendations clearly to engineering teams, product teams, and leadership. Work under the guidance of experienced engineers.

Location: ( Hybrid Position and Kanata ON Canada )

Disclaimer:

Kyyba is an Equal Opportunity Employer.

Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.”

It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665

Rewards:

Medical, dental, vision

401k

Term life

Voluntary life and disability insurance

Optional Pre-paid legal plan

Optional Identity theft plan

Optional Medical and dependent FSA

Work-visa sponsorship

Opportunity for advancement

Long-term assignment with opportunity for hire by client

SELECT AWARDS

An INC 5000 company for 10 years
Corp! Michigan Economic Bright Spots
Crain’s Detroit Business Top Staffing Service Companies in Detroit
TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
Best of MichBusiness winner in HR Wizards & Partnerships
Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest
101 Best & Brightest Companies to Work for in Michigan

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More about this job

Responsibilities

Define and refine system requirements, interfaces, and workflows for AI-enabled vehicle diagnostics, connecting embedded vehicle data, cloud services, engineering knowledge, and AI reasoning. Support integration, testing, observability, issue triage, and validation of diagnostic capabilities, and communicate technical risks and recommendations to cross-functional teams and leadership.

Requirements

Requires a bachelor's or master's degree in a relevant engineering, computer science, AI/ML, or related field, and 3–6 years of relevant experience through work, internships, research, or academic projects. Candidates should have strong Python and AI/ML foundations, familiarity with LLMs, retrieval workflows, APIs, Git, and containers, and the ability to translate ambiguous needs into technical requirements.

Skills

Systems Engineering
Systems Architecture
Systems Analysis
Software Systems
Product Management
Python
Artificial Intelligence and Machine Learning
Large Language Models
Retrieval-Augmented Generation
Embedded Systems
Vehicle Diagnostics
Cloud Engineering
Google Cloud Platform
Java
Requirements Authoring

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k)
Term Life Insurance
Voluntary Life Insurance
Disability Insurance
Prepaid Legal Plan
Identity Theft Protection
Medical and Dependent Care Flexible Spending Accounts
Work Visa Sponsorship
Career Advancement Opportunity
Potential for Client Hire

Visa sponsorship

Detected

Keywords

Artificial Intelligence
Machine Learning
Python
Java
Google Cloud Platform
Vertex AI
BigQuery
PyTorch
TensorFlow
Scikit-Learn
LangChain
Large Language Models
Retrieval-Augmented Generation
Semantic Retrieval
Vector Search
Embeddings
Ranking Systems
Agent-Based Workflows
APIs
Git
Docker
CI/CD
Embedded Systems
Connected Vehicles
Vehicle Diagnostics
Diagnostic Trouble Codes
Parameter Identifiers
Freeze Frame Data
Observability
Dynatrace

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