Sr. Software Engineer, Forward Deployed AI Team

• Sr. Software Engineer, Forward Deployed AI Team
• Hybrid to Wayne, PA or Naperville, IL considered
• How you'll contribute to our mission

At 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 at scale.

In 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 Forward Deployed 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 success

You’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, Graph QL, or g RPC 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.

Success in this role may include

• Delivering intelligent features and workflow capabilities into production that improve customer‑facing operations with clear SLAs, monitoring, rollback strategies, and measurable business impact.
• Establishing evaluation frameworks and quality gates that improve reliability and reproducibility across inference and retrieval systems.
• Improving platform performance, operational scalability, and team efficiency while maintaining strong user and customer experiences.
• Creating operational runbooks, dashboards, and engineering standards that help teams move faster with confidence.

What you bring to help us grow

• 5–7 years of experience in backend engineering, applied machine learning, or intelligent systems development with demonstrated production impact across customer‑facing or operational business environments.
• Strong software engineering fundamentals including Python development, testing practices, CI/CD workflows, and maintainable system design.
• Experience integrating foundation model APIs and cloud‑based inference platforms such as AWS Bedrock, Azure Open AI, or Google Vertex AI.
• Hands‑on familiarity with deep learning and inference tooling including Py Torch, Hugging Face Transformers, or v LLM.
• Experience building search and retrieval pipelines including embeddings, vector databases, metadata filtering, and document question‑answering workflows.
• Knowledge of observability, telemetry, and monitoring tools such as MLflow, Weights & Biases, Prometheus, or custom evaluation dashboards.
• Understanding of security, privacy, and responsible data handling practices including PII protection, redaction, and retention considerations.
• Experience working in collaborative, cross‑functional environments where communication, adaptability, and ownership are highly valued.
• Additional experience that may help you stand out
• Exposure to streaming architectures, structured outputs, function calling, or agentic workflows.
• Experience with cloud and infrastructure technologies such as Docker, Terraform, Kubernetes, Sage Maker, Lambda, or AWS‑native tooling.
• Familiarity with frontend integration patterns for intelligent user experiences including streaming interfaces and feedback loops.
• Experience working within highly regulated or compliance‑focused industries such as education, healthcare, or finance.
• What you'll need to thrive
• A growth mindset and curiosity about how AI and emerging technologies can create better experiences for users and teams.
• The ability to balance innovation with thoughtful execution, reliability, and customer trust.
• Strong collaboration skills and a willingness to partner across teams to solve meaningful problems together.
• Comfort navigating ambiguity, experimenting responsibly, and continuously improving through feedback and learning.
• A customer‑centered approach that focuses on outcomes, usability, and long‑term value rather than simply delivering features.
• A proactive, accountable mindset that embraces ownership and follows through on commitments.
• An interest in applying AI thoughtfully to business operations, customer engagement, and revenue‑focused workflows in ways that create meaningful outcomes for teams and customers.
• A passion for building technology that helps educators, students, and communities succeed.
• Our Mission, Our People, Our Purpose

At Frontline Education, we’re reimagining what’s possible by becoming an AI‑first organization, transforming how we think, work, and serve the educators who shape our schools every day.

By using AI in thoughtful, practical ways, we’re creating tools that help educators save time, gain insights, and focus more on what matters most — their students.

As part of our team, you’ll be expected and empowered to build and apply AI skillsets that grow with you, because at Frontline Education, technology amplifies what matters most: the human drive to learn, improve, and make a difference.

• How We Support Growth, Balance, and Well‑Being
• Personalized Time Off: Take time when it’s needed most — whether that’s a family vacation, a reset day, or simply time to rest and refocus.
• Paid Sick Time: Separate, dedicated sick leave to care for yourself or loved ones.
• Volunteer Time Off: Paid time to give back and support causes that matter to you.
• Ten Paid Holidays: Enjoy meaningful moments and traditions throughout the year.
• Our Philosophy: We believe time away from work helps you bring your best self to it.
• Continuous Learning and Growth
• World‑Class Learning Access: Explore thousands of on‑demand courses through platforms like Linked In Learning.
• Leadership & Technical Skill Building: Develop new capabilities and chart your own professional path.
• AI Empowerment: Use Open AI tools to build fluency with emerging technology and harness AI as a creative partner for innovation and problem‑solving.
• Tuition Reimbursement: Invest in formal education to advance your skills and career.
• Ongoing Learning Culture: Participate in company‑led webinars on AI, inclusion, and industry trends designed to inspire curiosity and continuous improvement.
• Health, Happiness, and Purpose
• Wellness Initiatives: Company‑sponsored programs that support physical, mental, and emotional well‑being.
• Employee Assistance Program (EAP): Confidential support for you and your family’s needs.
• Comprehensive Benefits: Health and financial benefits that support your happiness and future.
• A Culture That Cares: At Frontline Education, we want every team member to learn, grow, and thrive personally, professionally, and purposefully.

Compensation & Benefits

Frontline Education offers competitive compensation designed to recognize experience, skills, impact, and internal equity.

The base compensation range for this position is: $120,000-$135,000

Eligible employees may have access to

• Annual bonus opportunities
• 401(k) with company match
• Employee stock purchase opportunities where applicable
• Comprehensive medical, dental, and vision coverage
• Personalized paid time off
• Tuition reimbursement and professional development support
• Wellness and employee assistance programs
• Inclusion, Belonging & Equal Opportunity

Frontline Education is an equal opportunity/affirmative action employer.

We aspire to have an inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join our team.

Interview Process & Data Privacy

As part of our interview process, Frontline may use video conferencing technologies that include photo capture and transcription capabilities to support note‑taking and evaluation consistency throughout the hiring process.

Interview materials are used solely for recruiting and hiring purposes, stored securely, and only accessible to authorized hiring team members.

Candidates may request accommodations or opt out of transcription features by notifying their recruiter in advance.

Frontline processes applicant information in accordance with applicable privacy and data protection laws and remains committed to responsible, ethical use of technology throughout the hiring experience.

Our Privacy Policy

Click here to read our general Privacy Statement and click here to read our Applicant Privacy Statement.

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