• Building the AI growth platform for real estate • Collaborate with cross-functional teams to deliver high-quality software solutions • Participate in product-oriented technical initiatives end-to-end

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

About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job Overview The AI Engineer is responsible for debugging and troubleshooting SQL databases. They create scripts and macros for delivery optimization and use cloud computing for data processing. The AI Engineer performs complex data processing tasks including custom web crawling and pattern detection activities. Some management experience required. Duties and Responsibilities • Platform-to-client handoff/handback support for a variety of data formats. • Working with SQL databases including debugging and troubleshooting. • Using cloud computing platforms such as AWS, Azure, and GCP for data processing tasks. • RPA application to existing processes. • Creating scripts and macros for optimizing delivery pipelines. • Perform complex data processing tasks including custom web crawling, data type specific content cleanup, and pattern detection activities. • Additional duties as assigned. Requirements • Advanced knowledge of Regex and scripting for batch data optimization and cleanup. • Engineering level of understanding of data validation principles. • Basic knowledge of cloud computing frameworks including Azure Cognitive Services, AWS, etc. • Working knowledge of SQL including troubleshooting/debugging. • Advanced knowledge of syntax of most common file formats such as XML, JSON, RESX, Properties, CSV, etc. • Advanced knowledge of text processing software tools such as EmEditor, Sublime Text, Beyond Compare, Notepad++ • Advanced platform-to-client handoff and handback support for a variety of data formats • Ability to handle a variety of data formats including multi-domain solutions to process such data. • Willingness to work overtime if necessary. • Remote, office, or hybrid work environment depending on specific position. • Excellent attention to detail. • Ability to multi-task in a deadline driven environment. • Quick learner. • Problem-solver with a strong sense of initiative. • Excellent written and oral communication skills in English. • Leadership qualities including the ability to give/take feedback, recognition of when to delegate, and confidence. Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

• Study and develop cutting-edge techniques in machine learning, graphs, data analytics and deep learning • Perform in-depth analysis and optimization to ensure the best possible performance • Work directly with key customers to understand problems and provide AI solutions using GPUs • Collaborate closely with architecture, research, libraries, tools, and system software teams