{"id":3054590,"url":"https://alion.io/job/placetalent-ai-engineer-global","title":"AI Engineer (Global)","company":{"id":3913338,"name":"PlaceTalent","domain":"placetalent.co.za","url":"https://alion.io/company/placetalent","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":"jobmail.co.za","ats_vendor":null,"truth_index":{"grade":"A","score":95,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0.667,"time_to_fill_p50_days":6,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["South 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AI","optional":false}],"status":"live","first_seen_at":"2026-10-22T03:12:38Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-22T03:12:38Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Minimum Requirements \nBuild reliable workflows using structured outputs, tool calling, routing, budget controls and human approval when required.\nDesign and deploy agentic AI systems using leading model providers, including Anthropic, Azure OpenAI, Google Vertex AI and open-source models.\nDevelop document and knowledge-processing solutions for PDFs, scans, spreadsheets and internal documentation, including extraction, validation, search and citation capabilities.\nIntegrate AI solutions with company systems such as email, shared drives, CRM, ERP, internal databases and external APIs.\nTransform prototypes into reliable production services using containerisation, CI/CD, logging, monitoring and operational runbooks.\nDevelop and maintain evaluation frameworks, reference datasets, regression tests and quality metrics for AI systems.\nMonitor model usage, token consumption, cost and performance, implementing alerts when quality or expenditure deviates from expected levels.\nApply security-by-design principles, including least-privilege access, secure secrets management, prompt-injection protections and appropriate data governance.\nEnsure AI solutions are developed in line with relevant data protection and AI regulations, including GDPR and the EU AI Act.\nPartner with business teams to identify and assess automation opportunities, determining when to use traditional software, AI solutions or alternative approaches.\nDevelop reusable libraries, templates and internal AI guidelines.\nProvide support and practical training to colleagues using AI tools.\nDocument technical decisions and maintain agreed interfaces, schemas and architecture standards.\nKey Responsibilities\nMinimum 7 years of software engineering experience, including hands-on experience deploying LLM-based solutions used in production environments.\nStrong Python skills, including typing, Pydantic, testing frameworks such as pytest and modern dependency management tools.\nDirect experience working with AI provider SDKs and concepts such as structured outputs, tool calling, prompt caching and token management.\nStrong understanding of AI evaluation methodologies, quality measurement and regression testing.\nExperience with Docker, CI/CD, cloud infrastructure, logging and monitoring.\nStrong data engineering fundamentals, including SQL, APIs, schema management, data pipelines and formats such as Parquet.\nExperience managing AI systems with defined cost and resource constraints.\nStrong understanding of security considerations for LLM-based systems and responsible tool access.\nAbility to communicate technical limitations and recommendations clearly to non-technical stakeholders.\nProfessional English for technical documentation, code and communication. \nPlease apply directly by clicking on the Apply button or visit www.placetalent.co.za for more exciting opportunities.If you have not had any response within one week, please consider your application unsuccessful. 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