{"id":2950639,"url":"https://alion.io/job/manpower-group-senior-product-engineer","title":"Senior Product Engineer","company":{"id":4432290,"name":"Manpower Group","domain":"manpower.co.za","url":"https://alion.io/company/manpower-group","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":"jobmail.co.za","ats_vendor":null,"truth_index":{"grade":"A","score":90,"open_postings":10,"ghost_share":0.2,"stale_share":0,"repost_share":0.2,"time_to_fill_p50_days":20,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Backend","role_family":"Backend","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":{"min_usd":39000,"max_usd":71000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"LLM","optional":false},{"name":"n8n","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Supabase","optional":false},{"name":"TypeScript","optional":false},{"name":"WhatsApp","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-20T19:54:36Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-20T19:54:36Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Design, build and maintain scalable backend systems, APIs and third-party integrations.\nDevelop and optimise AI-powered applications and agent orchestration systems.\nTake ownership of features from initial design through to deployment, monitoring and ongoing improvement.\nEnsure system reliability, performance, security and uptime across production environments.\nWork with enterprise clients to scope technical requirements, define success criteria and support proof-of-concept projects.\nTranslate client needs into practical technical solutions and communicate architectural decisions clearly to non-technical stakeholders.\nMonitor deployed AI agents, evaluate their performance and report on business value and outcomes.\nMentor junior implementation engineers and contribute to best practices across the engineering team.\nCollaborate with internal teams to feed client insights and technical learnings back into product development.\nMinimum Requirements\nAt least 5 years’ experience in backend engineering, building and maintaining production systems.\nStrong programming skills in Python or TypeScript (Node.js).\nProven experience designing APIs and integrating third-party systems.\nGood knowledge of PostgreSQL or similar relational databases, including data modelling and query optimisation.\nExperience with cloud infrastructure, CI/CD pipelines, logging and monitoring.\nDemonstrated experience building and deploying LLM-powered features or applications into production.\nExperience working with queues and event-driven architecture.\nAbility to explain technical concepts and trade-offs to non-technical stakeholders.\nPrevious experience mentoring or leading junior engineers.\nAdvantageous Experience\nExperience with the WhatsApp Business API, voice AI or telephony integrations.\nPractical knowledge of AI agent orchestration, Retrieval-Augmented Generation (RAG) or LLM evaluation.\nFamiliarity with Supabase or workflow automation tools such as n8n.\nExperience in insurance, telecommunications or financial services.\nUnderstanding of POPIA and the responsible handling of personal information within AI systems.\nExposure to technical scoping, client consultations or pre-sales activities.\nWhy Consider This Opportunity?\nWork on cutting-edge AI solutions used by enterprise clients.\nTake ownership of meaningful product and architectural decisions.\nCombine hands-on engineering with client collaboration and problem-solving.\nHelp shape the future of AI-powered business processes.\nPlay a key role in developing talent and influencing engineering best practices.\n If you’re passionate about backend engineering, enjoy solving complex technical challenges and want to build AI solutions that make a tangible difference, we’d love to hear from you. 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