Senior Artificial Intelligence/Machine Learning Engineer at Ciklum

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

08 Sep, 26

Salary

0.0

Posted On

10 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLMs, Agentic Workflows, RAG, OpenAI API, Glean Platform, Prompt Engineering, Python, AWS, GCP, API Design, CI/CD, Data Engineering, Enterprise Search, Multi-step Orchestration, Function Calling, Observability

Industry

IT Services and IT Consulting

Description

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time inin Canada. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team, engineering experiences of tomorrow. We are placing senior AI engineers to design and deliver production agentic AI systems for an enterprise client. Responsibilities: * You will build autonomous agents on the client’s existing enterprise AI stack * Glean is the agent platform and OpenAI / GPT Enterprise provides the reasoning layer, deployed on AWS or GCP. This is hands-on build work * You own agents from design through production, monitoring, and iteration * You approach agents as production software * You work in terms of triggers, retrieval, reasoning steps, actions, permissions, evaluation, and observability, and you know how to make an agent reliable, secure, and maintainable at enterprise scale * Build for maintainability. You favor configuration over custom code and shared services over one-offs, and you keep the bespoke surface area small * Security and governance by default. You handle credentials, permissions, and sensitive data correctly without being prompted, and you design for audit from the start * Pragmatic and scale-aware. You design around real platform limits such as tool-call budgets, payload caps, and rate limits before they become production problems * Client-ready communication. You can explain an architecture decision to a technical buyer, defend it under questioning, and write clearly Requirements: * 3+ years building with LLMs in production systems that real users depend on * Hands-on experience designing agentic workflows: tool and function calling, retrieval-augmented generation (RAG), multi-step orchestration, and memory * OpenAI / GPT Enterprise. Deep practical experience with the OpenAI API and GPT Enterprise: model selection, prompt engineering, structured outputs, function calling, cost and latency tuning, and data-handling controls * Strong prompt-engineering discipline and an evaluation-first approach. You measure agent quality with evals rather than by inspection * Glean is required. Direct, hands-on production experience with the Glean platform: Agent Builder, Apps, Actions, Model Hub, connectors, and permission-aware retrieval. This is a non-negotiable requirement for the role * Working knowledge of enterprise search and RAG architecture on Glean: indexing, connectors, retrieval quality, and runtime permission enforcement Cloud and Engineering: * AWS and / or GCP. Production experience deploying and operating services on at least one, with comfort across both preferred. IAM, secrets management, networking, and cost awareness * Strong software engineering fundamentals in Python or equivalent: clean, tested, maintainable code, API design, CI/CD, and version control * Experience integrating enterprise SaaS systems through API (for example Jira, Slack, Google Workspace, ticketing and GRC tools), including auth flows and webhook and event patterns * Data engineering competence: moving and transforming data between systems, working with warehouses, and handling sensitive data securely Desirable: * Experience locking down and governing enterprise tools, including controlled intake, permission models, and audit trails * Familiarity with observability and incident response for AI systems: monitoring drift, alerting, and root-cause analysis * Exposure to regulated or finance and accounting environments where auditability and data governance matter * Prior consulting or client-facing delivery experience and comfort working embedded with a client’s teams What`s in it for you? * Strong community: Work alongside top professionals in a friendly, open-door environment * Growth focus: Take on large-scale projects with a global impact and expand your expertise * Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications * Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies * Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. Now expanding across Canada, we’re looking for talented professionals to strengthen our North American footprint. Join us to innovate at scale and deliver world-class solutions to global clients. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum. #LI-VH1

Responsibilities

Design and deliver production-ready agentic AI systems using the Glean platform and OpenAI GPT Enterprise. The role involves owning agents from design through production, focusing on reliability, security, and maintainability at enterprise scale.