{"id":731445,"url":"https://alion.io/job/the-agency-fund-ai-data-engineer","title":"AI Data Engineer","company":{"id":700418,"name":"The Agency Fund","domain":"agency.fund","url":"https://alion.io/company/the-agency-fund","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-11T09:52:42Z","employer_posted_date":null,"last_verified_at":"2026-09-11T09:52:42Z","board_verified":false,"closed_at":null,"days_open":47,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":47},"description":"We're looking for an AI Data Engineer to join our team. You'll design, build, and deploy AI/ML data systems that power agency funds' platforms and partner applications, from large language model integrations and recommendation engines to data pipelines and evaluation frameworks. Your work will directly improve outcomes for millions of people served by our NGO partners.\nResponsibilities:\nDesign and build AI/ML evaluations and features for agency funds' tech platforms and partners (LLMs, NLP, recommendation systems, etc. ).\nDevelop robust data pipelines and evaluation frameworks for model training and inference and post-deployment efficacy.\nWork closely with behavioural scientists and researchers to translate insights into AI-powered features.\nArchitect and maintain production ML systems with an emphasis on observability, performance, reliability and scalability.\nConduct rapid prototyping and experimentation to validate AI approaches before full buildout.\nDocument technical decisions and maintain engineering standards across AI components.\nStay current with applied AI research and bring relevant advances to the team.\nRequirements:\nHave 3-7 years of software engineering experience with at least 2 years focused on AI/ML systems.\nAre proficient in Python and have hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace, etc. )\nHave built and deployed LLM-powered applications or retrieval-augmented generation (RAG) systems.\nUnderstand ML fundamentals: model training, evaluation, fine-tuning, and inference optimisation.\nAre comfortable with cloud infrastructure (AWS, GCP, or Azure) and have deployed models in production.\nCommunicate technical concepts clearly to non-engineering audiences.\nCare deeply about building AI responsibly and with direct social benefit.\nBonus points if you have:\nExperience with multilingual NLP or working with low-resource languages.\nFamiliarity with behavioural science or designing AI for behaviour change.\nPrior work in global health, international development, or social impact technology.\nExperience with data annotation pipelines and evaluation methodology for LLMs.\nBackground in AI safety, alignment, or responsible AI 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