[Hiring] Gen AI Engineer 3 (AI/ML Engineer) @AMIRA LEARNING INC

Role Description

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.

Essential Functions

• Generative AI System Design & Development
  • 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.
• Fine-Tuning, Evaluation & Continuous Improvement
  • 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.
• Integration & Infrastructure
  • 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.
• Cross-Functional Collaboration
  • 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 needs into well-scoped generative AI solutions and communicate tradeoffs clearly to non-technical stakeholders.

Qualifications

• 2+ years of hands-on experience building and deploying LLM-based systems in production.
• Deep familiarity with RAG architectures: embedding models, vector databases, retrieval strategies, and response grounding.
• Demonstrated experience with evaluation and benchmarking of LLM outputs — including hallucination mitigation, confidence filtering, output validation, and fallback strategies.
• Practical experience with prompt engineering, prompt chaining, and/or agent orchestration frameworks (LangChain, LlamaIndex, or similar).
• Proficiency in Python and experience working with LLM APIs (open-source, Anthropic, OpenAI, etc.).
• Experience building and maintaining ML or data pipelines in AWS or similar cloud infrastructure (Lambda, S3, RDS, etc.).
• Degree in computer science or a related technical field, or equivalent practical experience.

Preferred Qualifications

• Experience fine-tuning foundation models or running RLHF / preference-based feedback loops for domain-specific improvement.
• Experience in education SaaS or with education-sector customers (districts, schools, state agencies).
• Familiarity with Salesforce or similar CRM platforms and their API/data ecosystems.
• Experience with evaluation tooling, custom eval harnesses, or LLM-as-judge approaches.
• Background working with conversational AI, chatbots, or customer-facing generative AI features.
• Proven ability to operate in a fast-paced, goal-oriented startup environment and manage multiple concurrent workstreams.

Benefits

• Competitive Salary
• Medical, dental, and vision benefits
• 401(k) with company matching
• Flexible time off
• Stock option ownership
• Cutting-edge work
• The opportunity to help children around the world reach their full potential

Commitment to Diversity

Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer.