{"id":3792171,"url":"https://alion.io/job/tumaini-consulting-senior-ai-data-engineer","title":"Senior AI & Data Engineer","company":{"id":4497292,"name":"Tumaini Consulting","domain":"tumaini.co.za","url":"https://alion.io/company/tumaini-consulting-2","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","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 Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"Vertex AI","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-28T11:29:02Z","employer_posted_date":null,"last_verified_at":"2026-10-28T11:29:02Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":9},"description":"My client is looking for a Senior AI & Data Engineer to join their dynamic team.\n\nRequirements:\n\n* Demonstrated experience designing and shipping production grade ML and AI platforms end-to-end: data ingestion and feature engineering, model training and fine tuning, deployment, monitoring and retraining.\n\n* Hands on experience building LLM and agentic applications that run in production: RAG, multi agent orchestration (LangGraph, CrewAI or equivalent), tool use and MCP integrations, guardrails and evaluation frameworks.\n\n* Proven data engineering track record: batch and streaming pipelines (Kafka, Spark, Airflow or equivalent), ETL and ELT into enterprise data warehouses, and data quality, validation and reconciliation at scale.\n\n* Experience deploying ML workloads on cloud MLOps platforms (AWS SageMaker or Bedrock, Azure OpenAI, GCP Vertex AI, Databricks) with infrastructure as code and CI/CD.\n\n* Evidence of technical ownership of components, workstreams or platforms within larger systems, with measurable business outcomes such as cost reduction, accuracy, latency or revenue uplift.\n\nIf you would like to apply for this position, please send transcripts with applications.\n\nShould you meet the requirements for this position, please email your updated CV attached to , alternatively contact […] or visit our website, www.tumaini.co Correspondence will only be conducted with short listed candidates. 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