Sr. Software Engineer AI
Listed on 2026-06-23
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Software Development
AI Engineer (Applied/Software), Backend Developer
Sr. Software Engineer AI
Location:
United States
Location:
Remote
Hybrid to Wayne, PA or Naperville, IL considered
How you'll contribute to our missionAt Frontline Education, our mission is to transform how schools work, so every educator and student succeeds. Our vision is every school thriving. Every community stronger.
We are looking for a Senior Software Engineer who is passionate about building intelligent, production‑grade experiences that help solve meaningful challenges this role, you will design and deliver AI‑enabled solutions that learn, search, reason, and adapt using real‑world data while maintaining a strong commitment to reliability, safety, and customer impact.
As part of Frontline’s Go‑To‑Market AI team, you’ll help build intelligent solutions that support how Frontline engages, supports, and grows relationships with customers across the full customer lifecycle. This team partners closely with Sales, Customer Success, Support, Marketing, Revenue Operations, and other customer‑facing teams to improve workflows, uncover insights, streamline operations, and create more personalized and effective customer experiences through thoughtful application of AI.
You’ll work cross‑functionally with product, platform, data, and business teams to turn complex operational and customer‑facing challenges into practical, measurable solutions that improve outcomes for both internal teams and the educators and school communities we serve. This role is ideal for someone who thrives in fast‑moving environments, embraces curiosity and experimentation, and takes ownership from idea through deployment.
As part of Frontline’s AI‑first transformation, you’ll help shape how intelligent systems are responsibly integrated into business processes, customer experiences, and internal workflows while keeping people, trust, usability, and customer success at the center of every decision.
How you'll drive successYou’ll help the Go‑To‑Market organization scale customer impact by building intelligent systems and AI‑enabled workflows that improve operational efficiency, decision‑making, and customer experiences across revenue and customer‑facing teams.
- Own the end‑to‑end development lifecycle for intelligent product capabilities, including discovery, data preparation, prototyping, evaluation, deployment, monitoring, and optimization.
- Build semantic search and intelligent retrieval systems using modern vector databases and retrieval orchestration frameworks such as FAISS, Pinecone, Open Search/KNN, Lang Chain, or Llama Index.
- Build intelligent search, knowledge retrieval, and workflow automation capabilities that help customer‑facing teams access insights, respond faster, and work more effectively.
- Design scalable inference strategies, integrations, and safeguards that promote reliability, reduce bias, protect privacy, and support responsible AI usage.
- Integrate intelligent models into production‑grade services using REST, GraphQL, or gRPC architectures with strong attention to observability, authentication, and operational resilience.
- Create experimentation and evaluation frameworks including A/B testing, regression testing, offline evaluation, and quality measurement pipelines that support confident decision‑making.
- Optimize systems for latency, cost, scalability, and quality through thoughtful architecture decisions, caching strategies, model selection, fine‑tuning, and performance improvements.
- Partner with MLOps and Platform Engineering teams to strengthen CI/CD automation, infrastructure reliability, feature flagging, and version management practices.
- Collaborate cross‑functionally to solve customer‑centered problems and ensure solutions are practical, measurable, and aligned to business outcomes.
- Document technical designs, share best practices, and contribute to a culture of continuous learning and knowledge sharing.
- Contribute to an engineering culture grounded in accountability, collaboration, innovation, and a commitment to delivering meaningful value for customers.
- Delivering intelligent features and workflow capabilities into production that…
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