Junior AI Engineer

TEEMA Group; Halifax; Híbrido; CAD 80.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work arrangement

Descripción de la vacante

TEEMA Group in Halifax, NS, is seeking a Junior AI Engineer to join a global fund services technology team. You will help build AI-enabled, cloud-native applications, contribute to document processing and data extraction projects, and learn from senior engineers while applying Python, ML concepts and AWS-based deployments.

You will collaborate with cross-functional teams, participate in agile ceremonies, review AI-generated outputs, and help implement secure, scalable software for financial

Formación

• Bachelor's degree in computer science, engineering or related field, or equivalent practical experience.
• Up to 2 years of software engineering, data, machine-learning, or relevant project experience.
• Working knowledge of Python, Git, APIs, automated testing and core software engineering practices.
• Familiarity with Python libraries such as Pandas, NumPy or scikit-learn.
• Foundational understanding of generative AI and ML concepts, including prompts, embeddings, retrieval augmented generation, model evaluation and document processing.

Responsabilidades

• Work in a cross-functional agile team to build and support cloud-native and AI-enabled applications.
• Participate in sprint planning, daily scrums, reviews and retrospectives.
• Implement features, APIs, data-processing components, prompts and AI integrations under guidance.
• Support the development of document-processing, ML, RAG and generative AI capabilities.
• Write clean, typed Python code, and contribute to ReactJS components where required.
• Create and validate unit and integration tests for changed behavior.

Conocimientos

Python

Git

APIs

Automated testing

Pandas

NumPy

scikit-learn

NLP concepts

Cloud fundamentals

Software engineering practices

Educación

Bachelor's degree in Computer Science, Engineering, Data Science or equivalent

Herramientas

AWS

Azure

ReactJS

Descripción del empleo

Job Title: Junior AI Engineer
Job ID:90840
Location:Halifax, Nova Scotia

Overview:Our client is a global leader in fund services, corporate governance and related asset services with staff across 80 offices worldwide. As a core member of our technology team, you will work with dedicated professionals to build and support secure, cloud-native, AI-enabled applications for the financial services industry. Using modern software engineering practices, AI-assisted development, and cross-functional collaboration, you will help deliver reliable, high-quality solutions that ensure clients maintain seamless access to their critical information assets while keeping ahead of industry innovation. Within the AI Engineering team, you will assist with developing document intelligence solutions that classify financial and client documents, extract structured data, and drive business process automation. Working closely with business stakeholders, you will contribute to the development, testing and enhancement of AI-powered solutions under the guidance of senior engineers leveraging large language models, natural language processing, document processing services, machine learning, and agentic workflows to solve complex business challenges and create measurable value.

Whatyou will be doing:

• You will work in a cross-functional agile team to build and support cloud-native and AI-enabled applications. With guidance from experienced engineers, you will deliver well-defined features, strengthen your software engineering skills and use AI development tools responsibly.
• Participate in sprint planning, daily scrums,reviewsand retrospectives.
• Implement well-defined application features, APIs, data-processing components,promptsand AI integrations under guidance.
• Implement solutions based on established architecture, design patterns and technical specifications.
• Support the development of document-processing, machine-learning,RAGand generative AI capabilities.
• Write clean,typedand maintainable Python code, and contribute to ReactJS components whererequired.
• Work with common Python data and AI libraries such as Pandas, NumPy and scikit-learn under guidance.
• Create andvalidateunit and integration tests for changed behavior, includingappropriate errorand edge cases.
• Review AI-generated code,testsand documentation before including them in a change.
• Troubleshoot defects, address reviewfeedbackand keep technical documentation current.
• Support AWS deployments and CI/CD activities using established patterns,controlsand runbooks.
• Collaborate with Platform, Quality Engineering, data,securityand operations colleagues.
• Learn and apply software engineering best practices.
• Participate in code reviews and incorporate feedback.
• Develop proficiency in AI, cloud and software engineering technologies through practical project work.

• Contribute to reusable components and documentation.

AI-Native Engineering Expectations

• Use AI coding assistants to accelerate learning, implementation, testing and documentation within team guardrails.
• Validate generated output for correctness, security, relevance and maintainability.

Career Development Expectations

• Demonstrate continuous growth in software engineering, cloud and AI technologies.
• Progressively take ownership of increasingly complex features with guidance.
• Develop the skills required to independently deliver AI-enabled solutions.
• Be able to explain why submitted code and tests exist and what behavior they protect.
• Apply established prompt, RAG and AI application test cases, datasets and harnesses with guidance.
• Escalate uncertain, sensitive or high-risk outputs for human review.
• Demonstrate responsible use of AI coding assistants and development tools.
• Seek guidance when generated outputs impact security, compliance, architectural decisions or business‑critical functionality.
• Continuously improve understanding of AI development patterns and quality practices.

What you must have:

• You must have a Bachelor’s degree in Computer Science, Engineering, DataScienceor equivalent practical experience.
• Up to 2 years of software engineering, data, machine-learningor relevant project experience.
• Working knowledge of Python, Git, APIs, automatedtestingand core software engineering practices.
• Familiarity with Python libraries such as Pandas, NumPy or scikit-learn.
• Foundational understanding of generative AI and machine learning concepts, including prompts, embeddings, retrieval augmented generation (RAG), model evaluation and document processing.
• Exposure tonatural-language processing, document processing, machine-learningframeworksor AI application development.
• Exposure tocloud services, preferably AWS. Familiarity with Azure or another cloud provider is an advantage.
• Interest in AI testing approaches, evaluationmethodsand test harnesses.
• Strong learning mindset, analytical ability, communicationskillsand attention to detail.
• Knowledge of financial services is helpful but notrequired.

Salary/Rate Range: $80,000 – $100,000

Other Information:

• Permanent job
• Hybrid 3 days/week onsite downtown Halifax