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Applied AI Engineer at DistantJob. . Location: Remote. Teaching AI to say yes is easy. Teaching it when to say ‘no,’ ‘I don’t know,’ or ‘let me get a human’ is the actual job. Our client is hiring an Applied AI Engineer to build the second kind.. .  . .  . . The Applied AI Engineer designs, builds and tests the AI conversations and agents inside the client’s learner-facing products: advisory experiences, practice simulations and diagnostic coaching.. . They work with Product, Content Studios, Engineering and subject-matter experts. They turn product and instructional requirements into reliable AI behavior, prove it through testing, and keep it performing after release.. . This company is at the forefront of learning technologies, providing e-learning programs for professionals in regulated industries such as healthcare and finance. They’re constantly evolving and growing, run efficient Agile-first teams, and have a broadly distributed staff. They value good-natured, inquisitive, and methodical IT professionals who come prepared to collaborate and share their knowledge.. .  . . Your responsibilities will include:. . . Turn scenario specs, decision models and assessment rubrics into prompts, application logic and testable behavior.. . Spot missing requirements and technical constraints, and raise them with Product, Engineering and SMEs.. . Define how AI models connect to application services and approved data sources: APIs, tool interactions, data structures, validation, error handling, permitted actions.. . Design prompts, structured outputs and validation logic, and catch invalid responses before they reach learners.. . Build conversational runtimes with controlled personas, session state and explicit state transitions.. . Keep simulation behavior, assessment logic and feedback separate, so feedback cannot change assessment results.. . Implement grounding and retrieval from approved knowledge sources, with source references where required.. . Keep code, prompts, schemas and evaluation assets under version control, and document them.. . Run bounded experiments with Product, with clear questions and success measures.. . Take validated prototypes into production with Engineering, and check behavior stays the same.. . Help build the technical controls that keep AI features compliant with accreditation requirements (issue flagging, review steps, disclosure, logging).. . .  . . What are the required skills?. . . Expert prompt and context engineering: system prompts, few-shot examples, prompt chaining, routing, breaking complex tasks into steps. . Structured outputs with JSON Schema, function calling and validation layers, with retry and fallback logic. . RAG design: chunking, metadata filtering, hybrid search, reranking, citation grounding. . Managing token budgets, prompt caching, context compaction and long-session memory. . Agentic systems: tool use, planner/executor patterns, multi-agent orchestration, state machines, human-in-the-loop checkpoints. . Defining tool schemas, permission scopes and action limits for agents. . AI evaluation: golden datasets, rubric-based scoring, LLM-as-judge calibrated against human raters, regression testing. . LLM observability and tracing. . LLM security: prompt injection, data leakage, jailbreaks, unsafe tool actions, and guardrails. . Comparing prompting, retrieval and model options on quality, latency and cost. . Python or TypeScript, including API integrations and automated testing. . Git (e.g. Bitbucket), reproducible tests and CI. . Works with AI coding agents by default. . Explains technical trade-offs to non-technical colleagues. . Sound judgment on privacy, human oversight and the limits of AI-generated assessment or advice. . Hands-on experience building LLM applications with multi-step conversational workflows. . Experience collaborating with subject-matter experts. . .  . . Preferred. . . Background in learning products, assessment, simulations or regulated professional content. . .  . .  . .  . . If this looks interesting, please use the form below to apply! Remember, this is a fully remote, long-term opportunity :)