{"id":1749779,"url":"https://alion.io/job/citco-junior-ai-engineer","title":"Junior AI Engineer","company":{"id":1907202,"name":"Citco","domain":"citco.com","url":"https://alion.io/company/citco","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":76,"open_postings":88,"ghost_share":0,"stale_share":0.955,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Halifax, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":120000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false}],"status":"live","first_seen_at":"2026-10-02T21:11:41Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-11T03:26:55Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"About Citco\nCitco is a global leader in fund services, corporate governance and related asset services with staff across 80 offices worldwide. With more than $1 trillion in assets under administration, we deliver end-to-end solutions and exceptional service to meet our clients’ needs.\nFor more information about Citco, please visit www.citco.com\nAbout the Team & Business Line\nProprietary software solutions and innovation are at the core of what differentiates Citco in the alternative investment space. Through our network of global development centres, Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our commitment to service excellence.\nAs 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 Citco ahead of industry innovation.\nWithin 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.\n Your Role\nYou 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.\nParticipate in sprint planning, daily scrums, reviews and retrospectives.\nImplement well-defined application features, APIs, data-processing components, prompts and AI integrations under guidance. \nImplement solutions based on established architecture, design patterns and technical specifications.\nSupport the development of document-processing, machine-learning, RAG and generative AI capabilities. \nWrite clean, typed and maintainable Python code, and contribute to ReactJS components where required. \nWork with common Python data and AI libraries such as Pandas, NumPy and scikit-learn under guidance. \nCreate and validate unit and integration tests for changed behavior, including appropriate error and edge cases. \nReview AI-generated code, tests and documentation before including them in a change. \nTroubleshoot defects, address review feedback and keep technical documentation current. \nSupport AWS deployments and CI/CD activities using established patterns, controls and runbooks. \nCollaborate with Platform, Quality Engineering, data, security and operations colleagues. \nLearn and apply software engineering best practices.\nParticipate in code reviews and incorporate feedback.\nDevelop proficiency in AI, cloud and software engineering technologies through practical project work.\nContribute to reusable components and documentation.\nAbout You:\nYou must have a Bachelor's degree in Computer Science, Engineering, Data Science or equivalent practical experience. \nUp to 2 years of software engineering, data, machine-learning or relevant project experience. \nWorking knowledge of Python, Git, APIs, automated testing and core software engineering practices. \nFamiliarity with Python libraries such as Pandas, NumPy or scikit-learn. \nFoundational understanding of generative AI and machine learning concepts, including prompts, embeddings, retrieval augmented generation (RAG), model evaluation and document processing.\nExposure to natural-language processing, document processing, machine-learning frameworks or AI application development. \nExposure to cloud services, preferably AWS. Familiarity with Azure or another cloud provider is an advantage. \nInterest in AI testing approaches, evaluation methods and test harnesses. \nStrong learning mindset, analytical ability, communication skills and attention to detail. \nKnowledge of financial services is helpful but not required. \nAI-Native Engineering Expectations\nUse AI coding assistants to accelerate learning, implementation, testing and documentation within team guardrails.\nValidate generated output for correctness, security, relevance and maintainability.\nBe able to explain why submitted code and tests exist and what behavior they protect.\nApply established prompt, RAG and AI application test cases, datasets and harnesses with guidance.\nEscalate uncertain, sensitive or high-risk outputs for human review.\nDemonstrate responsible use of AI coding assistants and development tools.\nSeek guidance when generated outputs impact security, compliance, architectural decisions or business-critical functionality.\nContinuously improve understanding of AI development patterns and quality practices.\nCareer Development Expectations\nDemonstrate continuous growth in software engineering, cloud and AI technologies.\nProgressively take ownership of increasingly complex features with guidance.\nDevelop the skills required to independently deliver AI-enabled solutions.\nOur Benefits\nYour well being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location.\nWe embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.\nCitco welcomes and encourages applications from people with disabilities. 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