Gen AI Engineer

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Location:

Remote

Employment Type:

Full-Time

Salary Range: $ To $ Annually

29 days ago Requisition

Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third‑generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4.

Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district’s Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum.

Unlike any other edtech tool, Amira continuously identifies each student’s skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district’s high‑quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level.

Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers.

A self‑motivated A‑player who is results‑oriented, operates at a fast pace, and takes pride in delivering high‑quality, trustworthy AI systems; an experienced generative AI practitioner with deep expertise in LLM‑based system design, including prompt engineering, RAG architectures, fine‑tuning, and evaluation; highly focused on accuracy and reliability, with a clear understanding that hallucinations and misinformation erode user trust and equipped with concrete strategies to prevent them;

proficient in building and maintaining end‑to‑end production ML pipelines, from data preparation through deployment and monitoring; and a strong collaborator who works effectively across engineering, product, and customer‑facing teams in a fully remote environment.

• Design, build, and continuously improve LLM‑powered systems across Amira's product and operations — from internal tools to customer‑facing features
• Own RAG pipelines end‑to‑end: document ingestion, chunking strategy, embedding selection, retrieval tuning, and response synthesis
• Develop and enforce guardrails, grounding strategies, and confidence thresholds to mitigate hallucination and ensure output reliability
• Architect prompt chains and agent workflows that are robust, maintainable, and cost‑effective at scale
• Design and operate evaluation frameworks to measure system accuracy, helpfulness, hallucination rate, and task completion across generative AI features
• Fine‑tune and adapt foundation models for domain‑specific tasks, including data curation, training pipeline setup, and performance benchmarking
• Implement automated and human‑in‑the‑loop review processes to catch and correct problematic outputs
• Monitor production traffic, identify failure modes, and iterate rapidly on retrieval, prompting, and generation strategies

• Integrate LLM‑powered features with internal systems and third‑party platforms (e.g., Salesforce, CRM tools) via APIs, connectors, and data sync workflows
• Contribute to shared ML infrastructure and tooling used across Amira's AI systems
• Help explore and implement solutions that make generative AI economically viable within the budget constraints typical of public schools and education SaaS

• Partner with learning design, content, product, and customer success teams to ensure AI systems are grounded in accurate, up‑to‑date domain knowledge
• Translate business…